ACL Logo ACL Anthology
A Digital Archive of Research Papers in Computational Linguistics

Google search the Anthology

Special Interest Group on the Lexicon (SIGLEX)

To SIGLEX Home Page

» Toggle Table of Contents

2017 Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017)
2016 Proceedings of the 12th Workshop on Multiword Expressions
2015 Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
Proceedings of the 11th Workshop on Multiword Expressions
Proceedings of the Ninth Workshop on Syntax, Semantics and Structure in Statistical Translation
Proceedings of the First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics
2014 Proceedings of Workshop on Lexical and Grammatical Resources for Language Processing
Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon (CogALex)
Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014)
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)
Proceedings of the 5th Workshop on Cognitive Aspects of Computational Language Learning (CogACLL)
Proceedings of the 10th Workshop on Multiword Expressions (MWE)
2013 Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
Proceedings of the Seventh Workshop on Syntax, Semantics and Structure in Statistical Translation
Proceedings of the 9th Workshop on Multiword Expressions
Proceedings of the Joint Symposium on Semantic Processing. Textual Inference and Structures in Corpora
Proceedings of the 6th International Conference on Generative Approaches to the Lexicon (GL2013)
Proceedings of the 2nd Workshop on Linked Data in Linguistics (LDL-2013): Representing and linking lexicons, terminologies and other language data
2012 Proceedings of the ACL 2012 Joint Workshop on Statistical Parsing and Semantic Processing of Morphologically Rich Languages
Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
Proceedings of the Sixth Workshop on Syntax, Semantics and Structure in Statistical Translation
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)
2011 Proceedings of the TextInfer 2011 Workshop on Textual Entailment
Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics
Proceedings of TextGraphs-6: Graph-based Methods for Natural Language Processing
Proceedings of Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation
2010 Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
2009 Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing (TextGraphs-4)
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (SEW-2009)
Proceedings of the Workshop on Geometrical Models of Natural Language Semantics
2008 Coling 2008: Proceedings of the 3rd Textgraphs workshop on Graph-based Algorithms for Natural Language Processing
Coling 2008: Proceedings of the Workshop on Cognitive Aspects of the Lexicon (COGALEX 2008)
2007 Acquisition and Management of Mulitlingual Lexicons, Workshop at RANLP-2007, September 30, 2007 (Endorsed by the ACL Special Interest Group on the Lexicon)
Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007)
A Broader Perspective on Multiword Expressions, ACL 2007 Workshop, June 28, 2007, Prague, Czech Republic (Endorsed by the ACL Special Interest Group on the Lexicon)
Proceedings of the Fourth ACL-SIGSEM Workshop on Prepositions
Proceedings of the Second Workshop on TextGraphs: Graph-Based Algorithms for Natural Language Processing
2006 Proceedings of the Workshop on Linguistic Distances
Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties
Proceedings of the Workshop on Making Sense of Sense: Bringing Psycholinguistics and Computational Linguistics Together
Proceedings of the Third ACL-SIGSEM Workshop on Prepositions
Proceedings of the Workshop on Multi-word-expressions in a multilingual context
2005 Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition
Third International Workshop on Generative Approaches to the Lexicon, Geneva, Switzerland, May 19-21, 2005
Applications of GermaNet II: Workshop of the GLDV AK Lexikographie
Interdisciplinary Workshop on the Identification and Representation of Verb Features and Verb Classes : Saarland University, Saarbrücken, Germany, February 28 - March 1, 2005
2004 Workshop on Lexical Resources and the Web for Word Sense Disambiguation: IBERAMIA 2004, Tonantzintla - Puebla México, 22 November 2004
Third International Workshop on Dictionary Writing Systems (DWS 2004)'
Proceeedings of the Workshop on NLP and XML (NLPXML-2004): RDF/RDFS and OWL in Language Technology
Proceedings of SENSEVAL-3, the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text
Proceedings of the 2nd Workshop on Text Meaning and Interpretation
Proceedings of the Workshop on Multiword Expressions: Integrating Processing
11th EURALEX International Congress
Building Lexical Resources from Semantically Annotated Corpora
OntoLex 2004: Ontologies and Lexical Resources in Distributed Environments
Beyond Named Entity Recognition: Semantic labelling for NLP tasks
2003 Proceedings of the ACL 2003 Workshop on Multiword Expressions: Analysis, Acquisition and Treatment
Proceedings of the ACL 2003 Workshop on the Lexicon and Figurative Language
Proceedings of the HLT-NAACL 2003 Workshop on Learning Word Meaning from Non-Linguistic Data
2001 Proceedings of SENSEVAL-2 Second International Workshop on Evaluating Word Sense Disambiguation Systems
2000 ACL-2000 Workshop on Word Senses and Multi-linguality
1999 SIGLEX99: Standardizing Lexical Resources
1998 Proceedings of the Pilot SENSEVAL
1997 SIGLEX97: Tagging Text with Lexical Semantics: Why, What, and How?
1995 AAAI-95 Spring Symposium


  1. Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)

  2. S17-1 [bib]: Entire Volume
  3. S17-1000 [bib]: Front Matter

  4. S17-1001 [bib]: Gregory Finley; Stephanie Farmer; Serguei Pakhomov
    What Analogies Reveal about Word Vectors and their Compositionality
  5. S17-1002 [bib]: Sneha Rajana; Chris Callison-Burch; Marianna Apidianaki; Vered Shwartz
    Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network
  6. S17-1003 [bib]: Edoardo Maria Ponti; Ivan Vulić; Anna Korhonen
    Decoding Sentiment from Distributed Representations of Sentences
  7. S17-1004 [bib]: Yogarshi Vyas; Marine Carpuat
    Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection
  8. S17-1005 [bib]: Ao Chen; Maosong Sun
    Domain-Specific New Words Detection in Chinese
  9. S17-1006 [bib]: Waseem Gharbieh; Virendrakumar Bhavsar; Paul Cook
    Deep Learning Models For Multiword Expression Identification
  10. S17-1007 [bib]: Saif Mohammad; Felipe Bravo-Marquez
    Emotion Intensities in Tweets
  11. S17-1008 [bib]: Nabiha Asghar; Pascal Poupart; Xin Jiang; Hang Li
    Deep Active Learning for Dialogue Generation
  12. S17-1009 [bib]: Anne Cocos; Marianna Apidianaki; Chris Callison-Burch
    Mapping the Paraphrase Database to WordNet
  13. S17-1010 [bib]: Yukun Feng; Dong Yu; Jian Xu; Chunhua Liu
    Semantic Frame Labeling with Target-based Neural Model
  14. S17-1011 [bib]: Francis Ferraro; Adam Poliak; Ryan Cotterell; Benjamin Van Durme
    Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles
  15. S17-1012 [bib]: Abhijeet Gupta; Gemma Boleda; Sebastian Padó
    Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible
  16. S17-1013 [bib]: Angel Maredia; Kara Schechtman; Sarah Ita Levitan; Julia Hirschberg
    Comparing Approaches for Automatic Question Identification
  17. S17-1014 [bib]: Zoran Medić; Jan Šnajder; Sebastian Padó
    Does Free Word Order Hurt? Assessing the Practical Lexical Function Model for Croatian
  18. S17-1015 [bib]: Dai Quoc Nguyen; Dat Quoc Nguyen; Ashutosh Modi; Stefan Thater; Manfred Pinkal
    A Mixture Model for Learning Multi-Sense Word Embeddings
  19. S17-1016 [bib]: Simon Ostermann; Michael Roth; Stefan Thater; Manfred Pinkal
    Aligning Script Events with Narrative Texts
  20. S17-1017 [bib]: Anna Rogers; Aleksandr Drozd; Bofang Li
    The (too Many) Problems of Analogical Reasoning with Word Vectors
  21. S17-1018 [bib]: Ekaterina Shutova; Andreas Wundsam; Helen Yannakoudakis
    Semantic Frames and Visual Scenes: Learning Semantic Role Inventories from Image and Video Descriptions
  22. S17-1019 [bib]: Vered Shwartz; Gabriel Stanovsky; Ido Dagan
    Acquiring Predicate Paraphrases from News Tweets
  23. S17-1020 [bib]: Alon Talmor; Mor Geva; Jonathan Berant
    Evaluating Semantic Parsing against a Simple Web-based Question Answering Model
  24. S17-1021 [bib]: Emmanuele Chersoni; Alessandro Lenci; Philippe Blache
    Logical Metonymy in a Distributional Model of Sentence Comprehension
  25. S17-1022 [bib]: Jena D. Hwang; Archna Bhatia; Na-Rae Han; Tim O'Gorman; Vivek Srikumar; Nathan Schneider
    Double Trouble: The Problem of Construal in Semantic Annotation of Adpositions
  26. S17-1023 [bib]: Tibor Kiss; Francis Jeffry Pelletier; Halima Husic; Johanna Poppek
    Issues of Mass and Count: Dealing with `Dual-Life' Nouns
  27. S17-1024 [bib]: Sorcha Gilroy; Adam Lopez; Sebastian Maneth
    Parsing Graphs with Regular Graph Grammars
  28. S17-1025 [bib]: Sujay Kumar Jauhar; Eduard Hovy
    Embedded Semantic Lexicon Induction with Joint Global and Local Optimization
  29. S17-1026 [bib]: Kathrin Eichler; Feiyu Xu; Hans Uszkoreit; Sebastian Krause
    Generating Pattern-Based Entailment Graphs for Relation Extraction
  30. S17-1027 [bib]: Maria Becker; Michael Staniek; Vivi Nastase; Alexis Palmer; Anette Frank
    Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention
  31. S17-1028 [bib]: Efsun Sarioglu Kayi; Mona Diab; Luca Pauselli; Michael Compton; Glen Coppersmith
    Predictive Linguistic Features of Schizophrenia
  32. S17-1029 [bib]: Mrinmaya Sachan; Eric Xing
    Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks
  33. S17-1030 [bib]: João António Rodrigues; Chakaveh Saedi; Vladislav Maraev; João Silva; António Branco
    Ways of Asking and Replying in Duplicate Question Detection
  34. Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

  35. S17-2 [bib]: Entire Volume
  36. S17-2000 [bib]: Front Matter

  37. S17-2001 [bib]: Daniel Cer; Mona Diab; Eneko Agirre; Inigo Lopez-Gazpio; Lucia Specia
    SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation
  38. S17-2002 [bib]: Jose Camacho-Collados; Mohammad Taher Pilehvar; Nigel Collier; Roberto Navigli
    SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity
  39. S17-2003 [bib]: Preslav Nakov; Doris Hoogeveen; Lluís Màrquez; Alessandro Moschitti; Hamdy Mubarak; Timothy Baldwin; Karin Verspoor
    SemEval-2017 Task 3: Community Question Answering
  40. S17-2004 [bib]: Peter Potash; Alexey Romanov; Anna Rumshisky
    SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor
  41. S17-2005 [bib]: Tristan Miller; Christian Hempelmann; Iryna Gurevych
    SemEval-2017 Task 7: Detection and Interpretation of English Puns
  42. S17-2006 [bib]: Leon Derczynski; Kalina Bontcheva; Maria Liakata; Rob Procter; Geraldine Wong Sak Hoi; Arkaitz Zubiaga
    SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
  43. S17-2007 [bib]: Hao Wu; Heyan Huang; Ping Jian; Yuhang Guo; Chao Su
    BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity
  44. S17-2008 [bib]: Robert Speer; Joanna Lowry-Duda
    ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge
  45. S17-2009 [bib]: Titas Nandi; Chris Biemann; Seid Muhie Yimam; Deepak Gupta; Sarah Kohail; Asif Ekbal; Pushpak Bhattacharyya
    IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification
  46. S17-2010 [bib]: David Donahue; Alexey Romanov; Anna Rumshisky
    HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition
  47. S17-2011 [bib]: Samuel Doogan; Aniruddha Ghosh; Hanyang Chen; Tony Veale
    Idiom Savant at Semeval-2017 Task 7: Detection and Interpretation of English Puns
  48. S17-2012 [bib]: Jérémy Ferrero; Laurent Besacier; Didier Schwab; Frédéric Agnès
    CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual Similarity
  49. S17-2013 [bib]: Hussein T. Al-Natsheh; Lucie Martinet; Fabrice Muhlenbach; Djamel Abdelkader ZIGHED
    UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise Features
  50. S17-2014 [bib]: Nabin Maharjan; Rajendra Banjade; Dipesh Gautam; Lasang J. Tamang; Vasile Rus
    DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output
  51. S17-2015 [bib]: Basma Hassan; Samir AbdelRahman; Reem Bahgat; Ibrahim Farag
    FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity Approach
  52. S17-2016 [bib]: Yang Shao
    HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate Semantic Textual Similarity
  53. S17-2017 [bib]: El Moatez Billah NAGOUDI; Jérémy Ferrero; Didier Schwab
    LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting
  54. S17-2018 [bib]: Martyna Řpiewak; Piotr Sobecki; Daniel Karaś
    OPI-JSA at SemEval-2017 Task 1: Application of Ensemble learning for computing semantic textual similarity
  55. S17-2019 [bib]: Cristina España-Bonet; Alberto Barrón-Cedeño
    Lump at SemEval-2017 Task 1: Towards an Interlingua Semantic Similarity
  56. S17-2020 [bib]: Fanqing Meng; Wenpeng Lu; Yuteng Zhang; Jinyong Cheng; Yuehan Du; Shuwang Han
    QLUT at SemEval-2017 Task 1: Semantic Textual Similarity Based on Word Embeddings
  57. S17-2021 [bib]: Johannes Bjerva; Robert Östling
    ResSim at SemEval-2017 Task 1: Multilingual Word Representations for Semantic Textual Similarity
  58. S17-2022 [bib]: Wenjie Liu; Chengjie Sun; Lei Lin; Bingquan Liu
    ITNLP-AiKF at SemEval-2017 Task 1: Rich Features Based SVR for Semantic Textual Similarity Computing
  59. S17-2023 [bib]: WenLi Zhuang; Ernie Chang
    Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model
  60. S17-2024 [bib]: Mirela-Stefania Duma; Wolfgang Menzel
    SEF$@$UHH at SemEval-2017 Task 1: Unsupervised Knowledge-Free Semantic Textual Similarity via Paragraph Vector
  61. S17-2025 [bib]: Sarah Kohail; Amr Rekaby Salama; Chris Biemann
    STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble
  62. S17-2026 [bib]: Joe Barrow; Denis Peskov
    UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity
  63. S17-2027 [bib]: John Henderson; Elizabeth Merkhofer; Laura Strickhart; Guido Zarrella
    MITRE at SemEval-2017 Task 1: Simple Semantic Similarity
  64. S17-2028 [bib]: Junfeng Tian; Zhiheng Zhou; Man Lan; Yuanbin Wu
    ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity
  65. S17-2029 [bib]: I-Ta Lee; Mahak Goindani; Chang Li; Di Jin; Kristen Marie Johnson; Xiao Zhang; Maria Leonor Pacheco; Dan Goldwasser
    PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings
  66. S17-2030 [bib]: Ergun Biçici
    RTM at SemEval-2017 Task 1: Referential Translation Machines for Predicting Semantic Similarity
  67. S17-2031 [bib]: Ignacio Arroyo-Fernández; Ivan Vladimir Meza Ruiz
    LIPN-IIMAS at SemEval-2017 Task 1: Subword Embeddings, Attention Recurrent Neural Networks and Cross Word Alignment for Semantic Textual Similarity
  68. S17-2032 [bib]: Pedro Fialho; Hugo Patinho Rodrigues; Luísa Coheur; Paulo Quaresma
    L2F/INESC-ID at SemEval-2017 Tasks 1 and 2: Lexical and semantic features in word and textual similarity
  69. S17-2033 [bib]: Junqing He; Long Wu; Xuemin Zhao; Yonghong Yan
    HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity
  70. S17-2034 [bib]: Pablo Gamallo
    Citius at SemEval-2017 Task 2: Cross-Lingual Similarity from Comparable Corpora and Dependency-Based Contexts
  71. S17-2035 [bib]: Josué Melka; Gilles Bernard
    Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarity
  72. S17-2036 [bib]: Fanqing Meng; Wenpeng Lu; Yuteng Zhang; Ping Jian; Shumin Shi; Heyan Huang
    QLUT at SemEval-2017 Task 2: Word Similarity Based on Word Embedding and Knowledge Base
  73. S17-2037 [bib]: Sergio Jimenez; George Dueñas; Lorena Gaitan; Jorge Segura
    RUFINO at SemEval-2017 Task 2: Cross-lingual lexical similarity by extending PMI and word embeddings systems with a Swadesh's-like list
  74. S17-2038 [bib]: Enrico Mensa; Daniele P. Radicioni; Antonio Lieto
    MERALI at SemEval-2017 Task 2 Subtask 1: a Cognitively Inspired approach
  75. S17-2039 [bib]: Behrang QasemiZadeh; Laura Kallmeyer
    HHU at SemEval-2017 Task 2: Fast Hash-Based Embeddings for Semantic Word Similarity Assessment
  76. S17-2040 [bib]: Niloofar Ranjbar; Fatemeh Mashhadirajab; Mehrnoush Shamsfard; Rayeheh Hosseini pour; Aryan Vahid pour
    Mahtab at SemEval-2017 Task 2: Combination of Corpus-based and Knowledge-based Methods to Measure Semantic Word Similarity
  77. S17-2041 [bib]: Claudio Delli Bovi; Alessandro Raganato
    Sew-Embed at SemEval-2017 Task 2: Language-Independent Concept Representations from a Semantically Enriched Wikipedia
  78. S17-2042 [bib]: Răzvan-Gabriel Rotari; Ionut Hulub; Stefan Oprea; Mihaela Plamada-Onofrei; Alina Beatrice Lorent; Raluca Preisler; Adrian Iftene; Diana Trandabat
    Wild Devs' at SemEval-2017 Task 2: Using Neural Networks to Discover Word Similarity
  79. S17-2043 [bib]: Mohammed R. H. Qwaider; Abed Alhakim Freihat; Fausto Giunchiglia
    TrentoTeam at SemEval-2017 Task 3: An application of Grice Maxims in Ranking Community Question Answers
  80. S17-2044 [bib]: Yassine El Adlouni; Imane Lahbari; Horacio Rodriguez; Mohammed Meknassi; Said Ouatik El Alaoui; Noureddine Ennahnahi
    UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic
  81. S17-2045 [bib]: Wenzheng Feng; Yu Wu; Wei Wu; Zhoujun Li; Ming Zhou
    Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering
  82. S17-2046 [bib]: Miguel J. Rodrigues; Francisco M Couto
    MoRS at SemEval-2017 Task 3: Easy to use SVM in Ranking Tasks
  83. S17-2047 [bib]: Yufei Xie; Maoquan Wang; Jing Ma; Jian Jiang; Zhao Lu
    EICA Team at SemEval-2017 Task 3: Semantic and Metadata-based Features for Community Question Answering
  84. S17-2048 [bib]: Giuseppe Attardi; Antonio Carta; Federico Errica; Andrea Madotto; Ludovica Pannitto
    FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering
  85. S17-2049 [bib]: Le Qi; Yu Zhang; Ting Liu
    SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity
  86. S17-2050 [bib]: Naman Goyal
    LearningToQuestion at SemEval 2017 Task 3: Ranking Similar Questions by Learning to Rank Using Rich Features
  87. S17-2051 [bib]: Delphine Charlet; Geraldine Damnati
    SimBow at SemEval-2017 Task 3: Soft-Cosine Semantic Similarity between Questions for Community Question Answering
  88. S17-2052 [bib]: Sheng Zhang; Jiajun Cheng; Hui Wang; Xin Zhang; Pei Li; Zhaoyun Ding
    FuRongWang at SemEval-2017 Task 3: Deep Neural Networks for Selecting Relevant Answers in Community Question Answering
  89. S17-2053 [bib]: Simone Filice; Giovanni Da San Martino; Alessandro Moschitti
    KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question Answering
  90. S17-2054 [bib]: Jan Milan Deriu; Mark Cieliebak
    SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question Answering
  91. S17-2055 [bib]: Filip Šaina; Toni Kukurin; Lukrecija Puljić; Mladen Karan; Jan Šnajder
    TakeLab-QA at SemEval-2017 Task 3: Classification Experiments for Answer Retrieval in Community QA
  92. S17-2056 [bib]: Nada Almarwani; Mona Diab
    GW_QA at SemEval-2017 Task 3: Question Answer Re-ranking on Arabic Fora
  93. S17-2057 [bib]: Asma Ben Abacha; Dina Demner-Fushman
    NLM_NIH at SemEval-2017 Task 3: from Question Entailment to Question Similarity for Community Question Answering
  94. S17-2058 [bib]: Yuta Koreeda; Takuya Hashito; Yoshiki Niwa; Misa Sato; Toshihiko Yanase; Kenzo Kurotsuchi; Kohsuke Yanai
    bunji at SemEval-2017 Task 3: Combination of Neural Similarity Features and Comment Plausibility Features
  95. S17-2059 [bib]: Marwan Torki; Maram Hasanain; Tamer Elsayed
    QU-BIGIR at SemEval 2017 Task 3: Using Similarity Features for Arabic Community Question Answering Forums
  96. S17-2060 [bib]: Guoshun Wu; Yixuan Sheng; Man Lan; Yuanbin Wu
    ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task
  97. S17-2061 [bib]: Surya Agustian; Hiroya Takamura
    UINSUSKA-TiTech at SemEval-2017 Task 3: Exploiting Word Importance Levels for Similarity Features for CQA
  98. S17-2062 [bib]: Byron Galbraith; Bhanu Pratap; Daniel Shank
    Talla at SemEval-2017 Task 3: Identifying Similar Questions Through Paraphrase Detection
  99. S17-2063 [bib]: Xiwu Han; Gregory Toner
    QUB at SemEval-2017 Task 6: Cascaded Imbalanced Classification for Humor Analysis in Twitter
  100. S17-2064 [bib]: Xinru Yan; Ted Pedersen
    Duluth at SemEval-2017 Task 6: Language Models in Humor Detection
  101. S17-2065 [bib]: Christos Baziotis; Nikos Pelekis; Christos Doulkeridis
    DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison
  102. S17-2066 [bib]: Marin Kukovačec; Juraj Malenica; Ivan Mršić; Antonio Šajatović; Domagoj Alagić; Jan Šnajder
    TakeLab at SemEval-2017 Task 6: #RankingHumorIn4Pages
  103. S17-2067 [bib]: Andrew Cattle; Xiaojuan Ma
    SRHR at SemEval-2017 Task 6: Word Associations for Humour Recognition
  104. S17-2068 [bib]: Iuliana Alexandra Fleşcan-Lovin-Arseni; Ramona Andreea Turcu; Cristina Sirbu; Larisa Alexa; Sandra Maria Amarandei; Nichita Herciu; Constantin Scutaru; Diana Trandabat; Adrian Iftene
    #WarTeam at SemEval-2017 Task 6: Using Neural Networks for Discovering Humorous Tweets
  105. S17-2069 [bib]: Rutal Mahajan; Mukesh Zaveri
    SVNIT $@$ SemEval 2017 Task-6: Learning a Sense of Humor Using Supervised Approach
  106. S17-2070 [bib]: Ted Pedersen
    Duluth at SemEval-2017 Task 7 : Puns Upon a Midnight Dreary, Lexical Semantics for the Weak and Weary
  107. S17-2071 [bib]: Olga Vechtomova
    UWaterloo at SemEval-2017 Task 7: Locating the Pun Using Syntactic Characteristics and Corpus-based Metrics
  108. S17-2072 [bib]: Elena Mikhalkova; Yuri Karyakin
    PunFields at SemEval-2017 Task 7: Employing Roget's Thesaurus in Automatic Pun Recognition and Interpretation
  109. S17-2073 [bib]: Aniket Pramanick; Dipankar Das
    JU CSE NLP $@$ SemEval 2017 Task 7: Employing Rules to Detect and Interpret English Puns
  110. S17-2074 [bib]: N-Hance at SemEval-2017 Task 7: A Computational Approach using Word Association for Puns
  111. S17-2075 [bib]: Lluís-F. Hurtado; Encarna Segarra; Ferran Pla; Pascual Carrasco; José-Àngel González
    ELiRF-UPV at SemEval-2017 Task 7: Pun Detection and Interpretation
  112. S17-2076 [bib]: Dieke Oele; Kilian Evang
    BuzzSaw at SemEval-2017 Task 7: Global vs. Local Context for Interpreting and Locating Homographic English Puns with Sense Embeddings
  113. S17-2077 [bib]: Ankit Vadehra
    UWAV at SemEval-2017 Task 7: Automated feature-based system for locating puns
  114. S17-2078 [bib]: Yuhuan Xiu; Man Lan; Yuanbin Wu
    ECNU at SemEval-2017 Task 7: Using Supervised and Unsupervised Methods to Detect and Locate English Puns
  115. S17-2079 [bib]: Vijayasaradhi Indurthi; Subba Reddy Oota
    Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language
  116. S17-2080 [bib]: Hareesh Bahuleyan; Olga Vechtomova
    UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features
  117. S17-2081 [bib]: Yi-Chin Chen; Zhao-Yang Liu; Hung-Yu Kao
    IKM at SemEval-2017 Task 8: Convolutional Neural Networks for stance detection and rumor verification
  118. S17-2082 [bib]: Omar Enayet; Samhaa R. El-Beltagy
    NileTMRG at SemEval-2017 Task 8: Determining Rumour and Veracity Support for Rumours on Twitter.
  119. S17-2083 [bib]: Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM
  120. S17-2084 [bib]: Marianela García Lozano; Hanna Lilja; Edward Tjörnhammar; Maja Karasalo
    Mama Edha at SemEval-2017 Task 8: Stance Classification with CNN and Rules
  121. S17-2085 [bib]: Ankit Srivastava; Georg Rehm; Julian Moreno Schneider
    DFKI-DKT at SemEval-2017 Task 8: Rumour Detection and Classification using Cascading Heuristics
  122. S17-2086 [bib]: Feixiang Wang; Man Lan; Yuanbin Wu
    ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models
  123. S17-2087 [bib]: Vikram Singh; Sunny Narayan; Md Shad Akhtar; Asif Ekbal; Pushpak Bhattacharyya
    IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation
  124. S17-2088 [bib]: Sara Rosenthal; Noura Farra; Preslav Nakov
    SemEval-2017 Task 4: Sentiment Analysis in Twitter
  125. S17-2089 [bib]: Keith Cortis; André Freitas; Tobias Daudert; Manuela Huerlimann; Manel Zarrouk; Siegfried Handschuh; Brian Davis
    SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News
  126. S17-2090 [bib]: Jonathan May; Jay Priyadarshi
    SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation
  127. S17-2091 [bib]: Isabelle Augenstein; Mrinal Das; Sebastian Riedel; Lakshmi Vikraman; Andrew McCallum
    SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications
  128. S17-2092 [bib]: Juliano Sales; Siegfried Handschuh; André Freitas
    SemEval-2017 Task 11: End-User Development using Natural Language
  129. S17-2093 [bib]: Steven Bethard; Guergana Savova; Martha Palmer; James Pustejovsky
    SemEval-2017 Task 12: Clinical TempEval
  130. S17-2094 [bib]: Mathieu Cliche
    BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs
  131. S17-2095 [bib]: Andrew Moore; Paul Rayson
    Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter: predicting sentiment from financial news headlines
  132. S17-2096 [bib]: Gerasimos Lampouras; Andreas Vlachos
    Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR.
  133. S17-2097 [bib]: Waleed Ammar; Matthew Peters; Chandra Bhagavatula; Russell Power
    The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction
  134. S17-2098 [bib]: Julien Tourille; Olivier Ferret; Xavier Tannier; Aurélie Névéol
    LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives
  135. S17-2099 [bib]: Ramy Baly; Gilbert Badaro; Ali Hamdi; Rawan Moukalled; Rita Aoun; Georges El-Khoury; Ahmad Al Sallab; Hazem Hajj; Nizar Habash; Khaled Shaban; Wassim El-Hajj
    OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model
  136. S17-2100 [bib]: Edilson Anselmo Corrêa Júnior; Vanessa Queiroz Marinho; Leandro Borges dos Santos
    NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis
  137. S17-2101 [bib]: Tzu-Hsuan Yang; Tzu-Hsuan Tseng; Chia-Ping Chen
    deepSA at SemEval-2017 Task 4: Interpolated Deep Neural Networks for Sentiment Analysis in Twitter
  138. S17-2102 [bib]: Yichun Yin; Yangqiu Song; Ming Zhang
    NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings
  139. S17-2103 [bib]: Raj Kumar Gupta; Yinping Yang
    CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification
  140. S17-2104 [bib]: Salud María Jiménez-Zafra; Arturo Montejo-Ráez; Maite Martin; L. Alfonso Urena Lopez
    SINAI at SemEval-2017 Task 4: User based classification
  141. S17-2105 [bib]: Abeed Sarker; Graciela Gonzalez
    HLP$@$UPenn at SemEval-2017 Task 4A: A simple, self-optimizing text classification system combining dense and sparse vectors
  142. S17-2106 [bib]: Enkhzol Dovdon; José Saias
    ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter
  143. S17-2107 [bib]: Raphael Troncy; Enrico Palumbo; Efstratios Sygkounas; Giuseppe Rizzo
    SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification
  144. S17-2108 [bib]: Alon Rozental; Daniel Fleischer
    Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter
  145. S17-2109 [bib]: Naveen Kumar Laskari; Suresh Kumar Sanampudi
    TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier
  146. S17-2110 [bib]: Hala Mulki; Hatem Haddad; Mourad Gridach; Ismail Babaoğlu
    Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets
  147. S17-2111 [bib]: Chukwuyem Onyibe; Nizar Habash
    OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields
  148. S17-2112 [bib]: Athanasia Kolovou; Filippos Kokkinos; Aris Fergadis; Pinelopi Papalampidi; Elias Iosif; Nikolaos Malandrakis; Elisavet Palogiannidi; Haris Papageorgiou; Shrikanth Narayanan; Alexandros Potamianos
    Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter
  149. S17-2113 [bib]: Nikolay Karpov
    NRU-HSE at SemEval-2017 Task 4: Tweet Quantification Using Deep Learning Architecture
  150. S17-2114 [bib]: Jingjing Zhao; Yan Yang; Bing Xu
    MI&T Lab at SemEval-2017 task 4: An Integrated Training Method of Word Vector for Sentiment Classification
  151. S17-2115 [bib]: Mohammed Jabreel; Antonio Moreno
    SiTAKA at SemEval-2017 Task 4: Sentiment Analysis in Twitter Based on a Rich Set of Features
  152. S17-2116 [bib]: Hussam Hamdan
    Senti17 at SemEval-2017 Task 4: Ten Convolutional Neural Network Voters for Tweet Polarity Classification
  153. S17-2117 [bib]: Symeon Symeonidis; Dimitrios Effrosynidis; John Kordonis; Avi Arampatzis
    DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis
  154. S17-2118 [bib]: Angel Deborah S; S Milton Rajendram; T T Mirnalinee
    SSN_MLRG1 at SemEval-2017 Task 4: Sentiment Analysis in Twitter Using Multi-Kernel Gaussian Process Classifier
  155. S17-2119 [bib]: Ming Wang; Biao Chu; Qingxun Liu; Xiaobing Zhou
    YNUDLG at SemEval-2017 Task 4: A GRU-SVM Model for Sentiment Classification and Quantification in Twitter
  156. S17-2120 [bib]: Amal Htait; Sébastien Fournier; Patrice Bellot
    LSIS at SemEval-2017 Task 4: Using Adapted Sentiment Similarity Seed Words For English and Arabic Tweet Polarity Classification
  157. S17-2121 [bib]: José-Àngel González; Ferran Pla; Lluís-F. Hurtado
    ELiRF-UPV at SemEval-2017 Task 4: Sentiment Analysis using Deep Learning
  158. S17-2122 [bib]: Yazhou Hao; YangYang Lan; Yufei Li; Chen Li
    XJSA at SemEval-2017 Task 4: A Deep System for Sentiment Classification in Twitter
  159. S17-2123 [bib]: Joosung Yoon; Kigon Lyu; Hyeoncheol Kim
    Adullam at SemEval-2017 Task 4: Sentiment Analyzer Using Lexicon Integrated Convolutional Neural Networks with Attention
  160. S17-2124 [bib]: wang maoquan; Chen Shiyun; Xie yufei; Zhao lu
    EICA at SemEval-2017 Task 4: A Simple Convolutional Neural Network for Topic-based Sentiment Classification
  161. S17-2125 [bib]: Quanzhi Li; Armineh Nourbakhsh; Xiaomo Liu; Rui Fang; Sameena Shah
    funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts
  162. S17-2126 [bib]: Christos Baziotis; Nikos Pelekis; Christos Doulkeridis
    DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis
  163. S17-2127 [bib]: Georgios Balikas
    TwiSe at SemEval-2017 Task 4: Five-point Twitter Sentiment Classification and Quantification
  164. S17-2128 [bib]: Mickael Rouvier
    LIA at SemEval-2017 Task 4: An Ensemble of Neural Networks for Sentiment Classification
  165. S17-2129 [bib]: Simon Müller; Tobias Huonder; Jan Deriu; Mark Cieliebak
    TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision
  166. S17-2130 [bib]: Sabino Miranda-Jiménez; Mario Graff; Eric Sadit Tellez; Daniela Moctezuma
    INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis
  167. S17-2131 [bib]: Deger Ayata; Murat Saraclar; Arzucan Ozgur
    BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches
  168. S17-2132 [bib]: David Lozić; Doria Šarić; Ivan Tokić; Zoran Medić; Jan Šnajder
    TakeLab at SemEval-2017 Task 4: Recent Deaths and the Power of Nostalgia in Sentiment Analysis in Twitter
  169. S17-2133 [bib]: Samhaa R. El-Beltagy; Mona El kalamawy; Abu Bakr Soliman
    NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis
  170. S17-2134 [bib]: Haowei Zhang; Jin Wang; Jixian Zhang; Xuejie Zhang
    YNU-HPCC at SemEval 2017 Task 4: Using A Multi-Channel CNN-LSTM Model for Sentiment Classification
  171. S17-2135 [bib]: Amit Ajit Deshmane; Jasper Friedrichs
    TSA-INF at SemEval-2017 Task 4: An Ensemble of Deep Learning Architectures Including Lexicon Features for Twitter Sentiment Analysis
  172. S17-2136 [bib]: José Abreu; Iván Castro; Claudia Martínez; Sebastián Oliva; Yoan Gutiérrez
    UCSC-NLP at SemEval-2017 Task 4: Sense n-grams for Sentiment Analysis in Twitter
  173. S17-2137 [bib]: Yunxiao Zhou; Man Lan; Yuanbin Wu
    ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification
  174. S17-2138 [bib]: Youness Mansar; Lorenzo Gatti; Sira Ferradans; Marco Guerini; Jacopo Staiano
    Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines
  175. S17-2139 [bib]: Angel Deborah S; S Milton Rajendram; T T Mirnalinee
    SSN_MLRG1 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis Using Multiple Kernel Gaussian Process Regression Model
  176. S17-2140 [bib]: Zarmeen Nasim
    IBA-Sys at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News
  177. S17-2141 [bib]: Tobias Cabanski; Julia Romberg; Stefan Conrad
    HHU at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Data using Machine Learning Methods
  178. S17-2142 [bib]: Tiago Zini; Karin Becker; Marcelo Dias
    INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines
  179. S17-2143 [bib]: Lidia Pivovarova; Llorenç Escoter; Arto Klami; Roman Yangarber
    HCS at SemEval-2017 Task 5: Polarity detection in business news using convolutional neural networks
  180. S17-2144 [bib]: Chung-Chi Chen; Hen-Hsen Huang; Hsin-Hsi Chen
    NLG301 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News
  181. S17-2145 [bib]: Quanzhi Li; Sameena Shah; Armineh Nourbakhsh; Rui Fang; Xiaomo Liu
    funSentiment at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs Using Word Vectors Built from StockTwits and Twitter
  182. S17-2146 [bib]: Narges Tabari; Armin Seyeditabari; Wlodek Zadrozny
    SentiHeros at SemEval-2017 Task 5: An application of Sentiment Analysis on Financial Tweets
  183. S17-2147 [bib]: Symeon Symeonidis; John Kordonis; Dimitrios Effrosynidis; Avi Arampatzis
    DUTH at SemEval-2017 Task 5: Sentiment Predictability in Financial Microblogging and News Articles
  184. S17-2148 [bib]: Leon Rotim; Martin Tutek; Jan Šnajder
    TakeLab at SemEval-2017 Task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news
  185. S17-2149 [bib]: Vineet John; Olga Vechtomova
    UW-FinSent at SemEval-2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation
  186. S17-2150 [bib]: Sudipta Kar; Suraj Maharjan; Thamar Solorio
    RiTUAL-UH at SemEval-2017 Task 5: Sentiment Analysis on Financial Data Using Neural Networks
  187. S17-2151 [bib]: Kim Schouten; Flavius Frasincar; Franciska de Jong
    COMMIT at SemEval-2017 Task 5: Ontology-based Method for Sentiment Analysis of Financial Headlines
  188. S17-2152 [bib]: Mengxiao Jiang; Man Lan; Yuanbin Wu
    ECNU at SemEval-2017 Task 5: An Ensemble of Regression Algorithms with Effective Features for Fine-Grained Sentiment Analysis in Financial Domain
  189. S17-2153 [bib]: Abhishek Kumar; Abhishek Sethi; Md Shad Akhtar; Asif Ekbal; Chris Biemann; Pushpak Bhattacharyya
    IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text
  190. S17-2154 [bib]: Deepanway Ghosal; Shobhit Bhatnagar; Md Shad Akhtar; Asif Ekbal; Pushpak Bhattacharyya
    IITP at SemEval-2017 Task 5: An Ensemble of Deep Learning and Feature Based Models for Financial Sentiment Analysis
  191. S17-2155 [bib]: Pedro Saleiro; Eduarda Mendes Rodrigues; Carlos Soares; Eugénio Oliveira
    FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings
  192. S17-2156 [bib]: Khoa Nguyen; Dang Nguyen
    UIT-DANGNT-CLNLP at SemEval-2017 Task 9: Building Scientific Concept Fixing Patterns for Improving CAMR
  193. S17-2157 [bib]: Jan Buys; Phil Blunsom
    Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention
  194. S17-2158 [bib]: Simon Mille; Roberto Carlini; Alicia Burga; Leo Wanner
    FORGe at SemEval-2017 Task 9: Deep sentence generation based on a sequence of graph transducers
  195. S17-2159 [bib]: Normunds Gruzitis; Didzis Gosko; Guntis Barzdins
    RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation
  196. S17-2160 [bib]: Rik van Noord; Johan Bos
    The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing
  197. S17-2161 [bib]: Liang Wang; Sujian Li
    PKU_ICL at SemEval-2017 Task 10: Keyphrase Extraction with Model Ensemble and External Knowledge
  198. S17-2162 [bib]: Erwin Marsi; Utpal Kumar Sikdar; Cristina Marco; Biswanath Barik; Rune Sætre
    NTNU-1$@$ScienceIE at SemEval-2017 Task 10: Identifying and Labelling Keyphrases with Conditional Random Fields
  199. S17-2163 [bib]: Steffen Eger; Erik-Lân Do Dinh; Ilia Kuznetsov; Masoud Kiaeeha; Iryna Gurevych
    EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION
  200. S17-2164 [bib]: Isabel Segura-Bedmar; Cristóbal Colón-Ruiz; Paloma Martínez
    LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network
  201. S17-2165 [bib]: Lung-Hao Lee; Kuei-Ching Lee; Yuen-Hsien Tseng
    The NTNU System at SemEval-2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications Using Multiple Conditional Random Fields
  202. S17-2166 [bib]: Sijia Liu; Feichen Shen; Vipin Chaudhary; Hongfang Liu
    MayoNLP at SemEval 2017 Task 10: Word Embedding Distance Pattern for Keyphrase Classification in Scientific Publications
  203. S17-2167 [bib]: Roman Kern; Stefan Falk; Andi Rexha
    Know-Center at SemEval-2017 Task 10: Sequence Classification with the CODE Annotator
  204. S17-2168 [bib]: Biswanath Barik; Erwin Marsi
    NTNU-2 at SemEval-2017 Task 10: Identifying Synonym and Hyponym Relations among Keyphrases in Scientific Documents
  205. S17-2169 [bib]: Víctor Suárez-Paniagua; Isabel Segura-Bedmar; Paloma Martínez
    LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network
  206. S17-2170 [bib]: Animesh Prasad; Min-Yen Kan
    WING-NUS at SemEval-2017 Task 10: Keyphrase Extraction and Classification as Joint Sequence Labeling
  207. S17-2171 [bib]: Ji Young Lee; Franck Dernoncourt; Peter Szolovits
    MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks
  208. S17-2172 [bib]: Tomoki Tsujimura; Makoto Miwa; Yutaka Sasaki
    TTI-COIN at SemEval-2017 Task 10: Investigating Embeddings for End-to-End Relation Extraction from Scientific Papers
  209. S17-2173 [bib]: Gábor Berend
    SZTE-NLP at SemEval-2017 Task 10: A High Precision Sequence Model for Keyphrase Extraction Utilizing Sparse Coding for Feature Generation
  210. S17-2174 [bib]: Simon David Hernandez; Davide Buscaldi; Thierry Charnois
    LIPN at SemEval-2017 Task 10: Filtering Candidate Keyphrases from Scientific Publications with Part-of-Speech Tag Sequences to Train a Sequence Labeling Model
  211. S17-2175 [bib]: Marek Kubis; Paweł Skórzewski; Tomasz Ziėtkiewicz
    EUDAMU at SemEval-2017 Task 11: Action Ranking and Type Matching for End-User Development
  212. S17-2176 [bib]: Sarath P R; Manikandan R; Yoshiki Niwa
    Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes
  213. S17-2177 [bib]: Po-Yu Huang; Hen-Hsen Huang; Yu-Wun Wang; Ching Huang; Hsin-Hsi Chen
    NTU-1 at SemEval-2017 Task 12: Detection and classification of temporal events in clinical data with domain adaptation
  214. S17-2178 [bib]: Yu Long; Zhijing Li; Xuan Wang; Chen Li
    XJNLP at SemEval-2017 Task 12: Clinical temporal information ex-traction with a Hybrid Model
  215. S17-2179 [bib]: Andre Lamurias; Diana Sousa; Sofia Pereira; Luka Clarke; Francisco M Couto
    ULISBOA at SemEval-2017 Task 12: Extraction and classification of temporal expressions and events
  216. S17-2180 [bib]: Sean MacAvaney; Arman Cohan; Nazli Goharian
    GUIR at SemEval-2017 Task 12: A Framework for Cross-Domain Clinical Temporal Information Extraction
  217. S17-2181 [bib]: Artuur Leeuwenberg; Marie-Francine Moens
    KULeuven-LIIR at SemEval-2017 Task 12: Cross-Domain Temporal Information Extraction from Clinical Records
  218. Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017)

  219. W17-17 [bib]: Entire Volume
  220. W17-1700 [bib]: Front Matter

  221. W17-1701 [bib]: Petra Barancikova; Václava Kettnerová
    ParaDi: Dictionary of Paraphrases of Czech Complex Predicates with Light Verbs
  222. W17-1702 [bib]: Sophie Chesney; Guillaume Jacquet; Ralf Steinberger; Jakub Piskorski
    Multi-word Entity Classification in a Highly Multilingual Environment
  223. W17-1703 [bib]: Marcos Garcia; Marcos García-Salido; Margarita Alonso-Ramos
    Using bilingual word-embeddings for multilingual collocation extraction
  224. W17-1704 [bib]: Agata Savary; Carlos Ramisch; Silvio Cordeiro; Federico Sangati; Veronika Vincze; Behrang QasemiZadeh; Marie Candito; Fabienne Cap; Voula Giouli; Ivelina Stoyanova; Antoine Doucet
    The PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions
  225. W17-1705 [bib]: Katalin Ilona Simkó; Viktória Kovács; Veronika Vincze
    USzeged: Identifying Verbal Multiword Expressions with POS Tagging and Parsing Techniques
  226. W17-1706 [bib]: Luka Nerima; Vasiliki Foufi; Eric Wehrli
    Parsing and MWE Detection: Fips at the PARSEME Shared Task
  227. W17-1707 [bib]: Natalia Klyueva; Antoine Doucet; Milan Straka
    Neural Networks for Multi-Word Expression Detection
  228. W17-1708 [bib]: Stefan Bott; Sabine Schulte im Walde
    Factoring Ambiguity out of the Prediction of Compositionality for German Multi-Word Expressions
  229. W17-1709 [bib]: Jamie Y. Findlay
    Multiword expressions and lexicalism: the view from LFG
  230. W17-1710 [bib]: Kristina Geeraert; R. Harald Baayen; John Newman
    Understanding Idiomatic Variation
  231. W17-1711 [bib]: Natalie Vargas; Carlos Ramisch; Helena Caseli
    Discovering Light Verb Constructions and their Translations from Parallel Corpora without Word Alignment
  232. W17-1712 [bib]: Justina Mandravickaite; Tomas Krilavičius
    Identification of Multiword Expressions for Latvian and Lithuanian: Hybrid Approach
  233. W17-1713 [bib]: Fabienne Cap
    Show Me Your Variance and I Tell You Who You Are - Deriving Compound Compositionality from Word Alignments
  234. W17-1714 [bib]: Melania Cabezas-García; Antonio San Martín
    Semantic annotation to characterize contextual variation in terminological noun compounds: a pilot study
  235. W17-1715 [bib]: Alfredo Maldonado; Lifeng Han; Erwan Moreau; Ashjan Alsulaimani; Koel Dutta Chowdhury; Carl Vogel; Qun Liu
    Detection of Verbal Multi-Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re-Ranking
  236. W17-1716 [bib]: Tiberiu Boroş; Sonia Pipa; Verginica Barbu Mititelu; Dan Tufiş
    A data-driven approach to verbal multiword expression detection. PARSEME Shared Task system description paper
  237. W17-1717 [bib]: Hazem Al Saied; Matthieu Constant; Marie Candito
    The ATILF-LLF System for Parseme Shared Task: a Transition-based Verbal Multiword Expression Tagger
  238. W17-1718 [bib]: Shiva Taslimipoor; Omid Rohanian; Ruslan Mitkov; Afsaneh Fazly
    Investigating the Opacity of Verb-Noun Multiword Expression Usages in Context
  239. W17-1719 [bib]: Archna Bhatia; Choh Man Teng; James Allen
    Compositionality in Verb-Particle Constructions
  240. W17-1720 [bib]: Uxoa Iñurrieta; Itziar Aduriz; Arantza Diaz de Ilarraza; Gorka Labaka; Kepa Sarasola
    Rule-Based Translation of Spanish Verb-Noun Combinations into Basque
  241. W17-1721 [bib]: Veronika Vincze
    Verb-Particle Constructions in Questions
  242. W17-1722 [bib]: Marion Weller-Di Marco
    Simple Compound Splitting for German
  243. W17-1723 [bib]: Manon Scholivet; Carlos Ramisch
    Identification of Ambiguous Multiword Expressions Using Sequence Models and Lexical Resources
  244. W17-1724 [bib]: Agnès Tutin; Olivier Kraif
    Comparing Recurring Lexico-Syntactic Trees (RLTs) and Ngram Techniques for Extended Phraseology Extraction
  245. W17-1725 [bib]: Matthieu Constant; Héctor Martínez Alonso
    Benchmarking Joint Lexical and Syntactic Analysis on Multiword-Rich Data
  246. W17-1726 [bib]: King Chan; Julian Brooke; Timothy Baldwin
    Semi-Automated Resolution of Inconsistency for a Harmonized Multiword Expression and Dependency Parse Annotation
  247. W17-1727 [bib]: Maja Buljan; Jan Šnajder
    Combining Linguistic Features for the Detection of Croatian Multiword Expressions
  248. W17-1728 [bib]: Maximilian Köper; Sabine Schulte im Walde
    Complex Verbs are Different: Exploring the Visual Modality in Multi-Modal Models to Predict Compositionality


  1. Proceedings of the 12th Workshop on Multiword Expressions

  2. W16-1801: Seid Muhie Yimam; Hėctor Martínez Alonso; Martin Riedl; Chris Biemann
    Learning Paraphrasing for Multiword Expressions
  3. W16-1802: Tal Daniel; Mark Last
    Exploring Long-Term Temporal Trends in the Use of Multiword Expressions
  4. W16-1803: Marco Silvio Giuseppe Senaldi; Gianluca E. Lebani; Alessandro Lenci
    Lexical Variability and Compositionality: Investigating Idiomaticity with Distributional Semantic Models
  5. W16-1804: Carlos Ramisch; Silvio Cordeiro; Aline Villavicencio
    Filtering and Measuring the Intrinsic Quality of Human Compositionality Judgments
  6. W16-1805: Moritz Wittmann; Marion Weller-Di Marco; Sabine Schulte im Walde
    Graph-based Clustering of Synonym Senses for German Particle Verbs
  7. W16-1806: Michael Nokel; Natalia Loukachevitch
    Accounting ngrams and multi-word terms can improve topic models
  8. W16-1807: Patrick Ziering; Stefan Müller; Lonneke van der Plas
    Top a Splitter: Using Distributional Semantics for Improving Compound Splitting
  9. W16-1808: Kostadin Cholakov; Valia Kordoni
    Using Word Embeddings for Improving Statistical Machine Translation of Phrasal Verbs
  10. W16-1809: Meghdad Farahmand; James Henderson
    Modeling the Non-Substitutability of Multiword Expressions with Distributional Semantics and a Log-Linear Model
  11. W16-1810: Joėl Legrand; Ronan Collobert
    Phrase Representations for Multiword Expressions
  12. W16-1811: Miriam R L Petruck; Michael Ellsworth
    Representing Support Verbs in FrameNet
  13. W16-1812: Zdenka Uresova; Eduard Bejček; Jan Hajic
    Inherently Pronominal Verbs in Czech: Description and Conversion Based on Treebank Annotation
  14. W16-1813: Yves Bestgen
    Using collocational features to improve automated scoring of EFL texts
  15. W16-1814: Angela Costa; Luísa Coheur; Teresa Lino
    A study on the production of collocations by European Portuguese learners
  16. W16-1815: Paweł Chrząszcz
    Extraction and Recognition of Polish Multiword Expressions using Wikipedia and Finite-State Automata
  17. W16-1816: Martin Riedl; Chris Biemann
    Impact of MWE Resources on Multiword Recognition
  18. W16-1817: Waseem Gharbieh; Virendra Bhavsar; Paul Cook
    A Word Embedding Approach to Identifying Verb-Noun Idiomatic Combinations


  1. Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics

  2. S15-1 [bib]: Entire Volume
  3. S15-1000 [bib]: Front Matter

  4. S15-1001 [bib]: Xiaodan Zhu; Hongyu Guo; Parinaz Sobhani
    Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition
  5. S15-1002 [bib]: Phong Le; Willem Zuidema
    Compositional Distributional Semantics with Long Short Term Memory
  6. S15-1003 [bib]: Nikolaos Aletras; Mark Stevenson
    A Hybrid Distributional and Knowledge-based Model of Lexical Semantics
  7. S15-1004 [bib]: Julien Corman; Laure Vieu; Nathalie Aussenac-Gilles
    Distributional semantics for ontology verification
  8. S15-1005 [bib]: Parvin Sadat Feizabadi; Sebastian Padó
    Combining Seemingly Incompatible Corpora for Implicit Semantic Role Labeling
  9. S15-1006 [bib]: Jena D. Hwang; Martha Palmer
    Identification of Caused Motion Construction
  10. S15-1007 [bib]: Oier Lopez de Lacalle; Eneko Agirre
    A Methodology for Word Sense Disambiguation at 90% based on large-scale CrowdSourcing
  11. S15-1008 [bib]: Vinodkumar Prabhakaran; Branimir Boguraev
    Learning Structures of Negations from Flat Annotations
  12. S15-1009 [bib]: Vinodkumar Prabhakaran; Tomas By; Julia Hirschberg; Owen Rambow; Samira Shaikh; Tomek Strzalkowski; Jennifer Tracey; Michael Arrigo; Rupayan Basu; Micah Clark; Adam Dalton; Mona Diab; Louise Guthrie; Anna Prokofieva; Stephanie Strassel; Gregory Werner; Yorick Wilks; Janyce Wiebe
    A New Dataset and Evaluation for Belief/Factuality
  13. S15-1010 [bib]: Nitish Aggarwal; Kartik Asooja; Georgeta Bordea; Paul Buitelaar
    Non-Orthogonal Explicit Semantic Analysis
  14. S15-1011 [revisions: v2] [bib]: Ander Barrena; Aitor Soroa; Eneko Agirre
    Combining Mention Context and Hyperlinks from Wikipedia for Named Entity Disambiguation
  15. S15-1012 [bib]: Clint Burford; Steven Bird; Timothy Baldwin
    Collective Document Classification with Implicit Inter-document Semantic Relationships
  16. S15-1013 [bib]: Soheil Danesh; Tamara Sumner; James H. Martin
    SGRank: Combining Statistical and Graphical Methods to Improve the State of the Art in Unsupervised Keyphrase Extraction
  17. S15-1014 [bib]: Steffen Eger; Niko Schenk; Alexander Mehler
    Towards Semantic Language Classification: Inducing and Clustering Semantic Association Networks from Europarl
  18. S15-1015 [bib]: Heba Elfardy; Mona Diab; Chris Callison-Burch
    Ideological Perspective Detection Using Semantic Features
  19. S15-1016 [bib]: Farah Benamara; Maite Taboada
    Mapping Different Rhetorical Relation Annotations: A Proposal
  20. S15-1017 [bib]: Abhijeet Gupta; Jason Utt; Sebastian Padó
    Dissecting the Practical Lexical Function Model for Compositional Distributional Semantics
  21. S15-1018 [bib]: Alex Judea; Michael Strube
    Event Extraction as Frame-Semantic Parsing
  22. S15-1019 [bib]: Andras Kornai; Judit Àcs; Márton Makrai; Dávid Márk Nemeskey; Katalin Pajkossy; Gábor Recski
    Competence in lexical semantics
  23. S15-1020 [bib]: Luis Marujo; Ricardo Ribeiro; David Martins de Matos; João Neto; Anatole Gershman; Jaime Carbonell
    Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach
  24. S15-1021 [bib]: Silvia Necsulescu; Sara Mendes; David Jurgens; Núria Bel; Roberto Navigli
    Reading Between the Lines: Overcoming Data Sparsity for Accurate Classification of Lexical Relationships
  25. S15-1022 [bib]: Tae-Gil Noh; Sebastian Padó; Vered Shwartz; Ido Dagan; Vivi Nastase; Kathrin Eichler; Lili Kotlerman; Meni Adler
    Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment Algorithms
  26. S15-1023 [bib]: Samuel Ritter; Cotie Long; Denis Paperno; Marco Baroni; Matthew Botvinick; Adele Goldberg
    Leveraging Preposition Ambiguity to Assess Compositional Distributional Models of Semantics
  27. S15-1024 [bib]: Rachel Rudinger; Vera Demberg; Ashutosh Modi; Benjamin Van Durme; Manfred Pinkal
    Learning to predict script events from domain-specific text
  28. S15-1025 [bib]: Pablo Ruiz; Thierry Poibeau
    Combining Open Source Annotators for Entity Linking through Weighted Voting
  29. S15-1026 [bib]: Magali Sanches Duran; Sandra Aluísio
    Automatic Generation of a Lexical Resource to support Semantic Role Labeling in Portuguese
  30. S15-1027 [bib]: Shumin Wu; Martha Palmer
    Can Selectional Preferences Help Automatic Semantic Role Labeling?
  31. S15-1028 [bib]: Sujan Perera; Pablo Mendes; Amit Sheth; Krishnaprasad Thirunarayan; Adarsh Alex; Christopher Heid; Greg Mott
    Implicit Entity Recognition in Clinical Documents
  32. S15-1029 [bib]: Peter Exner; Marcus Klang; Pierre Nugues
    A Distant Supervision Approach to Semantic Role Labeling
  33. S15-1030 [bib]: Jean-Philippe Fauconnier; Mouna Kamel
    Discovering Hypernymy Relations using Text Layout
  34. S15-1031 [bib]: Natalie Schluter
    The complexity of finding the maximum spanning DAG and other restrictions for DAG parsing of natural language
  35. S15-1032 [bib]: Yoshihide Kato; Shigeki Matsubara
    Incremental Semantic Construction Using Normal Form CCG Derivation
  36. S15-1033 [bib]: William Foland; James Martin
    Dependency-Based Semantic Role Labeling using Convolutional Neural Networks
  37. S15-1034 [bib]: Olga Uryupina; Alessandro Moschitti
    A State-of-the-Art Mention-Pair Model for Coreference Resolution
  38. S15-1035 [bib]: Sujay Kumar Jauhar; Raul Guerra; Edgar Gonzàlez Pellicer; Marta Recasens
    Resolving Discourse-Deictic Pronouns: A Two-Stage Approach to Do It
  39. S15-1036 [bib]: Mohsen Mesgar; Michael Strube
    Graph-based Coherence Modeling For Assessing Readability
  40. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

  41. S15-2 [bib]: Entire Volume
  42. S15-2000 [bib]: Front Matter

  43. S15-2001 [bib]: Wei Xu; Chris Callison-Burch; Bill Dolan
    SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)
  44. S15-2002 [bib]: Guido Zarrella; John Henderson; Elizabeth M. Merkhofer; Laura Strickhart
    MITRE: Seven Systems for Semantic Similarity in Tweets
  45. S15-2003 [bib]: Helena Gomez; Darnes Vilariño; David Pinto; Grigori Sidorov
    CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task
  46. S15-2004 [bib]: Dario Bertero; Pascale Fung
    HLTC-HKUST: A Neural Network Paraphrase Classifier using Translation Metrics, Semantic Roles and Lexical Similarity Features
  47. S15-2005 [bib]: Ngoc Phuoc An Vo; Simone Magnolini; Octavian Popescu
    FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter
  48. S15-2006 [bib]: Jiang Zhao; Man Lan
    ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter
  49. S15-2007 [bib]: Rob van der Goot; Gertjan van Noord
    ROB: Using Semantic Meaning to Recognize Paraphrases
  50. S15-2008 [bib]: Mahalakshmi Shanumuga Sundaram; Anand Kumar Madasamy; Soman Kotti Padannayil
    AMRITA_CEN$@$SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders
  51. S15-2009 [bib]: Taneeya Satyapanich; Hang Gao; Tim Finin
    Ebiquity: Paraphrase and Semantic Similarity in Twitter using Skipgrams
  52. S15-2010 [bib]: Ergun Bicici
    RTM-DCU: Predicting Semantic Similarity with Referential Translation Machines
  53. S15-2011 [bib]: Asli Eyecioglu; Bill Keller
    Twitter Paraphrase Identification with Simple Overlap Features and SVMs
  54. S15-2012 [bib]: Mladen Karan; Goran Glavaš; Jan Šnajder; Bojana Dalbelo Bašić; Ivan Vulić; Marie-Francine Moens
    TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay
  55. S15-2013 [bib]: Rafael - Michael Karampatsis
    CDTDS: Predicting Paraphrases in Twitter via Support Vector Regression
  56. S15-2014 [bib]: Yang Liu; Chengjie Sun; Lei Lin; Xiaolong Wang
    yiGou: A Semantic Text Similarity Computing System Based on SVM
  57. S15-2015 [bib]: Liling Tan; Carolina Scarton; Lucia Specia; Josef van Genabith
    USAAR-SHEFFIELD: Semantic Textual Similarity with Deep Regression and Machine Translation Evaluation Metrics
  58. S15-2016 [bib]: Md Rashadul Hasan Rakib; Aminul Islam; Evangelos Milios
    TrWP: Text Relatedness using Word and Phrase Relatedness
  59. S15-2017 [bib]: Hanna Béchara; Hernani Costa; Shiva Taslimipoor; Rohit Gupta; Constantin Orasan; Gloria Corpas Pastor; Ruslan Mitkov
    MiniExperts: An SVM Approach for Measuring Semantic Textual Similarity
  60. S15-2018 [bib]: Ngoc Phuoc An Vo; Simone Magnolini; Octavian Popescu
    FBK-HLT: A New Framework for Semantic Textual Similarity
  61. S15-2019 [bib]: Sakethram Karumuri; Viswanadh Kumar Reddy Vuggumudi; Sai Charan Raj Chitirala
    UMDuluth-BlueTeam: SVCSTS - A Multilingual and Chunk Level Semantic Similarity System
  62. S15-2020 [bib]: Nataliia Plotnikova; Gabriella Lapesa; Thomas Proisl; Stefan Evert
    SemantiKLUE: Semantic Textual Similarity with Maximum Weight Matching
  63. S15-2021 [bib]: Jiang Zhao; Man Lan; Jun Feng Tian
    ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation
  64. S15-2022 [bib]: Hamed Hassanzadeh; Tudor Groza; Anthony Nguyen; Jane Hunter
    UQeResearch: Semantic Textual Similarity Quantification
  65. S15-2023 [bib]: Naoko Miura; Tomohiro Takagi
    WSL: Sentence Similarity Using Semantic Distance Between Words
  66. S15-2024 [bib]: Davide Buscaldi; Jorge Garcia Flores; Ivan V. Meza; Isaac Rodriguez
    SOPA: Random Forests Regression for the Semantic Textual Similarity task
  67. S15-2025 [bib]: Gábor Recski; Judit Àcs
    MathLingBudapest: Concept Networks for Semantic Similarity
  68. S15-2026 [bib]: Piyush Arora; Chris Hokamp; Jennifer Foster; Gareth Jones
    DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2
  69. S15-2027 [bib]: Md Arafat Sultan; Steven Bethard; Tamara Sumner
    DLS$@$CU: Sentence Similarity from Word Alignment and Semantic Vector Composition
  70. S15-2028 [bib]: Basma Hassan; Samir AbdelRahman; Reem Bahgat
    FCICU: The Integration between Sense-Based Kernel and Surface-Based Methods to Measure Semantic Textual Similarity
  71. S15-2029 [bib]: Evan Jaffe; Lifeng Jin; David King; Marten van Schijndel
    AZMAT: Sentence Similarity Using Associative Matrices
  72. S15-2030 [bib]: Rajendra Banjade; Nobal Bikram Niraula; Nabin Maharjan; Vasile Rus; Dan Stefanescu; Mihai Lintean; Dipesh Gautam
    NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity
  73. S15-2031 [bib]: Lushan Han; Justin Martineau; Doreen Cheng; Christopher Thomas
    Samsung: Align-and-Differentiate Approach to Semantic Textual Similarity
  74. S15-2032 [bib]: Eneko Agirre; Aitor Gonzalez-Agirre; Inigo Lopez-Gazpio; Montse Maritxalar; German Rigau; Larraitz Uria
    UBC: Cubes for English Semantic Textual Similarity and Supervised Approaches for Interpretable STS
  75. S15-2033 [bib]: Ana Alves; David Simões; Hugo Gonçalo Oliveira; Adriana Ferrugento
    ASAP-II: From the Alignment of Phrases to Textual Similarity
  76. S15-2034 [bib]: Tu Thanh Vu; Quan Hung Tran; Son Bao Pham
    TATO: Leveraging on Multiple Strategies for Semantic Textual Similarity
  77. S15-2035 [bib]: Yongshuai Hou; Cong Tan; Xiaolong Wang; Yaoyun Zhang; Jun Xu; Qingcai Chen
    HITSZ-ICRC: Exploiting Classification Approach for Answer Selection in Community Question Answering
  78. S15-2036 [bib]: Massimo Nicosia; Simone Filice; Alberto Barrón-Cedeño; Iman Saleh; Hamdy Mubarak; Wei Gao; Preslav Nakov; Giovanni Da San Martino; Alessandro Moschitti; Kareem Darwish; Lluís Màrquez; Shafiq Joty; Walid Magdy
    QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English
  79. S15-2037 [bib]: Xiaoqiang Zhou; Baotian Hu; Jiaxin Lin; Yang xiang; Xiaolong Wang
    ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge
  80. S15-2038 [bib]: Quan Hung Tran; Vu Tran; Tu Vu; Minh Nguyen; Son Bao Pham
    JAIST: Combining multiple features for Answer Selection in Community Question Answering
  81. S15-2039 [bib]: Amin Heydari Alashty; Saeed Rahmani; Meysam Roostaee; Mostafa Fakhrahmad
    Shiraz: A Proposed List Wise Approach to Answer Validation
  82. S15-2040 [bib]: Reham Mohamed; Maha Ragab; Heba Abdelnasser; Nagwa M. El-Makky; Marwan Torki
    Al-Bayan: A Knowledge-based System for Arabic Answer Selection
  83. S15-2041 [bib]: Ngoc Phuoc An Vo; Simone Magnolini; Octavian Popescu
    FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question Answering
  84. S15-2042 [bib]: Liang Yi; JianXiang Wang; Man Lan
    ECNU: Using Multiple Sources of CQA-based Information for Answers Selection and YES/NO Response Inference
  85. S15-2043 [bib]: Ivan Zamanov; Marina Kraeva; Nelly Hateva; Ivana Yovcheva; Ivelina Nikolova; Galia Angelova
    Voltron: A Hybrid System For Answer Validation Based On Lexical And Distance Features
  86. S15-2044 [bib]: Björn Rudzewitz; Ramon Ziai
    CoMiC: Adapting a Short Answer Assessment System for Answer Selection
  87. S15-2045 [bib]: Eneko Agirre; Carmen Banea; Claire Cardie; Daniel Cer; Mona Diab; Aitor Gonzalez-Agirre; Weiwei Guo; Inigo Lopez-Gazpio; Montse Maritxalar; Rada Mihalcea; German Rigau; Larraitz Uria; Janyce Wiebe
    SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability
  88. S15-2046 [bib]: Christian Hänig; Robert Remus; Xose de la Puente
    ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity
  89. S15-2047 [bib]: Preslav Nakov; Lluís Màrquez; Walid Magdy; Alessandro Moschitti; Jim Glass; Bilal Randeree
    SemEval-2015 Task 3: Answer Selection in Community Question Answering
  90. S15-2048 [bib]: Yonatan Belinkov; Mitra Mohtarami; Scott Cyphers; James Glass
    VectorSLU: A Continuous Word Vector Approach to Answer Selection in Community Question Answering Systems
  91. S15-2049 [bib]: Andrea Moro; Roberto Navigli
    SemEval-2015 Task 13: Multilingual All-Words Sense Disambiguation and Entity Linking
  92. S15-2050 [bib]: Marianna Apidianaki; Li Gong
    LIMSI: Translations as Source of Indirect Supervision for Multilingual All-Words Sense Disambiguation and Entity Linking
  93. S15-2051 [bib]: Noémie Elhadad; Sameer Pradhan; Sharon Gorman; Suresh Manandhar; Wendy Chapman; Guergana Savova
    SemEval-2015 Task 14: Analysis of Clinical Text
  94. S15-2052 [bib]: Jun Xu; Yaoyun Zhang; Jingqi Wang; Yonghui Wu; Min Jiang; Ergin Soysal; Hua Xu
    UTH-CCB: The Participation of the SemEval 2015 Challenge – Task 14
  95. S15-2053 [bib]: Vít Baisa; Jane Bradbury; Silvie Cinkova; Ismail El Maarouf; Adam Kilgarriff; Octavian Popescu
    SemEval-2015 Task 15: A CPA dictionary-entry-building task
  96. S15-2054 [bib]: Yukun Feng; Qiao Deng; Dong Yu
    BLCUNLP: Corpus Pattern Analysis for Verbs Based on Dependency Chain
  97. S15-2055 [bib]: Rocco Tripodi; Marcello Pelillo
    WSD-games: a Game-Theoretic Algorithm for Unsupervised Word Sense Disambiguation
  98. S15-2056 [bib]: Dirk Weissenborn; Feiyu Xu; Hans Uszkoreit
    DFKI: Multi-objective Optimization for the Joint Disambiguation of Entities and Nouns & Deep Verb Sense Disambiguation
  99. S15-2057 [bib]: Eniafe Festus Ayetiran; Guido Boella
    EBL-Hope: Multilingual Word Sense Disambiguation Using a Hybrid Knowledge-Based Technique
  100. S15-2058 [bib]: Marten Postma; Ruben Izquierdo; Piek Vossen
    VUA-background : When to Use Background Information to Perform Word Sense Disambiguation
  101. S15-2059 [bib]: Petr Fanta; Roman Sudarikov; Ondrej Bojar
    TeamUFAL: WSD+EL as Document Retrieval
  102. S15-2060 [bib]: Pablo Ruiz; Thierry Poibeau
    EL92: Entity Linking Combining Open Source Annotators via Weighted Voting
  103. S15-2061 [bib]: Pierpaolo Basile; Annalina Caputo; Giovanni Semeraro
    UNIBA: Combining Distributional Semantic Models and Sense Distribution for Multilingual All-Words Sense Disambiguation and Entity Linking
  104. S15-2062 [bib]: Steve L. Manion
    SUDOKU: Treating Word Sense Disambiguation & Entitiy Linking as a Deterministic Problem - via an Unsupervised & Iterative Approach
  105. S15-2063 [bib]: Nghia Huynh; Quoc Ho
    TeamHCMUS: Analysis of Clinical Text
  106. S15-2064 [bib]: Kai Hakala
    UTU: Adapting Biomedical Event Extraction System to Disorder Attribute Detection
  107. S15-2065 [bib]: Maryna Chernyshevich; Vadim Stankevitch
    IHS-RD-Belarus: Identification and Normalization of Disorder Concepts in Clinical Notes
  108. S15-2066 [bib]: Omid Ghiasvand; Rohit Kate
    UWM: A Simple Baseline Method for Identifying Attributes of Disease and Disorder Mentions in Clinical Text
  109. S15-2067 [bib]: Goran Glavaš
    TAKELAB: Medical Information Extraction and Linking with MINERAL
  110. S15-2068 [bib]: Jitendra Jonnagaddala; Siaw-Teng Liaw; Pradeep Ray; Manish Kumar; Hong-Jie Dai
    TMUNSW: Identification of Disorders and Normalization to SNOMED-CT Terminology in Unstructured Clinical Notes
  111. S15-2069 [bib]: Kristina Doing-Harris; Sean Igo; Jianlin Shi; John Hurdle
    UtahPOET: Disorder Mention Identification and Context Slot Filling with Cognitive Inspiration
  112. S15-2070 [bib]: André Leal; Bruno Martins; Francisco Couto
    ULisboa: Recognition and Normalization of Medical Concepts
  113. S15-2071 [bib]: Parth Pathak; Pinal Patel; Vishal Panchal; Sagar Soni; Kinjal Dani; Amrish Patel; Narayan Choudhary
    ezDI: A Supervised NLP System for Clinical Narrative Analysis
  114. S15-2072 [bib]: James Gung; John Osborne; Steven Bethard
    CUAB: Supervised Learning of Disorders and their Attributes using Relations
  115. S15-2073 [bib]: Sérgio Matos; José Sequeira; José Luís Oliveira
    BioinformaticsUA: Machine Learning and Rule-Based Recognition of Disorders and Clinical Attributes from Patient Notes
  116. S15-2074 [bib]: Asma Ben Abacha; Aikaterini Karanasiou; Yassine Mrabet; Julio Cesar Dos Reis
    LIST-LUX: Disorder Identification from Clinical Texts
  117. S15-2075 [bib]: Chad Mills; Gina-Anne Levow
    CMILLS: Adapting Semantic Role Labeling Features to Dependency Parsing
  118. S15-2076 [bib]: Ted Pedersen
    Duluth: Word Sense Discrimination in the Service of Lexicography
  119. S15-2077 [bib]: Irene Russo; Tommaso Caselli; Carlo Strapparava
    SemEval-2015 Task 9: CLIPEval Implicit Polarity of Events
  120. S15-2078 [bib]: Sara Rosenthal; Preslav Nakov; Svetlana Kiritchenko; Saif Mohammad; Alan Ritter; Veselin Stoyanov
    SemEval-2015 Task 10: Sentiment Analysis in Twitter
  121. S15-2079 [bib]: Aliaksei Severyn; Alessandro Moschitti
    UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification
  122. S15-2080 [bib]: Aniruddha Ghosh; Guofu Li; Tony Veale; Paolo Rosso; Ekaterina Shutova; John Barnden; Antonio Reyes
    SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter
  123. S15-2081 [bib]: Canberk Özdemir; Sabine Bergler
    CLaC-SentiPipe: SemEval2015 Subtasks 10 B,E, and Task 11
  124. S15-2082 [bib]: Maria Pontiki; Dimitris Galanis; Haris Papageorgiou; Suresh Manandhar; Ion Androutsopoulos
    SemEval-2015 Task 12: Aspect Based Sentiment Analysis
  125. S15-2083 [bib]: Zhiqiang Toh; Jian Su
    NLANGP: Supervised Machine Learning System for Aspect Category Classification and Opinion Target Extraction
  126. S15-2084 [bib]: Mauro Dragoni
    SHELLFBK: An Information Retrieval-based System For Multi-Domain Sentiment Analysis
  127. S15-2085 [bib]: Abeed Sarker; Azadeh Nikfarjam; Davy Weissenbacher; Graciela Gonzalez
    DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter
  128. S15-2086 [bib]: Li Dong; Furu Wei; Yichun Yin; Ming Zhou; Ke Xu
    Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of Tweets
  129. S15-2087 [bib]: Ayushi Dalmia; Manish Gupta; Vasudeva Varma
    IIIT-H at SemEval 2015: Twitter Sentiment Analysis – The Good, the Bad and the Neutral!
  130. S15-2088 [bib]: Sebastian Ebert; Ngoc Thang Vu; Hinrich Schütze
    CIS-positive: A Combination of Convolutional Neural Networks and Support Vector Machines for Sentiment Analysis in Twitter
  131. S15-2089 [bib]: Milagros Fernández-Gavilanes; Tamara Àlvarez-López; Jonathan Juncal-Martínez; Enrique Costa-Montenegro; Francisco Javier González-Castaño
    GTI: An Unsupervised Approach for Sentiment Analysis in Twitter
  132. S15-2090 [bib]: Héctor Cerezo-Costas; Diego Celix-Salgado
    Gradiant-Analytics: Training Polarity Shifters with CRFs for Message Level Polarity Detection
  133. S15-2091 [bib]: Peijia Li; Weiqun Xu; Chenglong Ma; Jia Sun; Yonghong Yan
    IOA: Improving SVM Based Sentiment Classification Through Post Processing
  134. S15-2092 [bib]: Huizhi Liang; Richard Fothergill; Timothy Baldwin
    RoseMerry: A Baseline Message-level Sentiment Classification System
  135. S15-2093 [bib]: Esteban Castillo; Ofelia Cervantes; Darnes Vilariño; David Báez; Alfredo Sánchez
    UDLAP: Sentiment Analysis Using a Graph-Based Representation
  136. S15-2094 [bib]: Zhihua Zhang; Guoshun Wu; Man Lan
    ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features
  137. S15-2095 [bib]: Hussam Hamdan; Patrice Bellot; Frederic Bechet
    Lsislif: Feature Extraction and Label Weighting for Sentiment Analysis in Twitter
  138. S15-2096 [bib]: Mayte Giménez; Ferran Pla; Lluís-F. Hurtado
    ELiRF: A SVM Approach for SA tasks in Twitter at SemEval-2015
  139. S15-2097 [bib]: Matthias Hagen; Martin Potthast; Michel Büchner; Benno Stein
    Webis: An Ensemble for Twitter Sentiment Detection
  140. S15-2098 [bib]: Satarupa Guha; Aditya Joshi; Vasudeva Varma
    Sentibase: Sentiment Analysis in Twitter on a Budget
  141. S15-2099 [bib]: Pierpaolo Basile; Nicole Novielli
    UNIBA: Sentiment Analysis of English Tweets Combining Micro-blogging, Lexicon and Semantic Features
  142. S15-2100 [bib]: Ayush Kumar; Vamsi Krishna; Asif Ekbal
    IITPSemEval: Sentiment Discovery from 140 Characters
  143. S15-2101 [bib]: Fatih Uzdilli; Martin Jaggi; Dominic Egger; Pascal Julmy; Leon Derczynski; Mark Cieliebak
    Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment
  144. S15-2102 [bib]: Silvio Amir; Ramón Astudillo; Wang Ling; Bruno Martins; Mario J. Silva; Isabel Trancoso
    INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction
  145. S15-2103 [bib]: Nataliia Plotnikova; Micha Kohl; Kevin Volkert; Stefan Evert; Andreas Lerner; Natalie Dykes; Heiko Ermer
    KLUEless: Polarity Classification and Association
  146. S15-2104 [bib]: Ruth Talbot; Chloe Acheampong; Richard Wicentowski
    SWASH: A Naive Bayes Classifier for Tweet Sentiment Identification
  147. S15-2105 [bib]: Richard Wicentowski
    SWATCS65: Sentiment Classification Using an Ensemble of Class Projects
  148. S15-2106 [bib]: Yousef Alhessi; Richard Wicentowski
    SWATAC: A Sentiment Analyzer using One-Vs-Rest Logistic Regression
  149. S15-2107 [bib]: William Boag; Peter Potash; Anna Rumshisky
    TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis
  150. S15-2108 [bib]: Prerna Chikersal; Soujanya Poria; Erik Cambria
    SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning
  151. S15-2109 [bib]: Ramón Astudillo; Silvio Amir; Wang Ling; Bruno Martins; Mario J. Silva; Isabel Trancoso
    INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces
  152. S15-2110 [bib]: Richard Townsend; Adam Tsakalidis; Yiwei Zhou; Bo Wang; Maria Liakata; Arkaitz Zubiaga; Alexandra Cristea; Rob Procter
    WarwickDCS: From Phrase-Based to Target-Specific Sentiment Recognition
  153. S15-2111 [bib]: Xu Han; Binyang Li; Jing Ma; Yuxiao Zhang; Gaoyan Ou; Tengjiao Wang; Kam-fai Wong
    UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015
  154. S15-2112 [bib]: Riley Collins; Daniel May; Noah Weinthal; Richard Wicentowski
    SWAT-CMW: Classification of Twitter Emotional Polarity using a Multiple-Classifier Decision Schema and Enhanced Emotion Tagging
  155. S15-2113 [bib]: Hongzhi Xu; Enrico Santus; Anna Laszlo; Chu-Ren Huang
    LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets
  156. S15-2114 [bib]: Hoang Long Nguyen; Trung Duc Nguyen; Dosam Hwang; Jason J. Jung
    KELabTeam: A Statistical Approach on Figurative Language Sentiment Analysis in Twitter
  157. S15-2115 [bib]: Cynthia Van Hee; Els Lefever; Veronique Hoste
    LT3: Sentiment Analysis of Figurative Tweets: piece of cake #NotReally
  158. S15-2116 [bib]: Parth Gupta; Jon Ander Gómez
    PRHLT: Combination of Deep Autoencoders with Classification and Regression Techniques for SemEval-2015 Task 11
  159. S15-2117 [bib]: Delia Irazú Hernández Farías; Emilio Sulis; Viviana Patti; Giancarlo Ruffo; Cristina Bosco
    ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and Sarcasm
  160. S15-2118 [bib]: Sarah McGillion; Héctor Martínez Alonso; Barbara Plank
    CPH: Sentiment analysis of Figurative Language on Twitter #easypeasy #not
  161. S15-2119 [bib]: Francesco Barbieri; Francesco Ronzano; Horacio Saggion
    UPF-taln: SemEval 2015 Tasks 10 and 11. Sentiment Analysis of Literal and Figurative Language in Twitter
  162. S15-2120 [bib]: Maria Karanasou; Christos Doulkeridis; Maria Halkidi
    DsUniPi: An SVM-based Approach for Sentiment Analysis of Figurative Language on Twitter
  163. S15-2121 [bib]: Aitor García Pablos; Montse Cuadros; German Rigau
    V3: Unsupervised Aspect Based Sentiment Analysis for SemEval2015 Task 12
  164. S15-2122 [bib]: Orphee De Clercq; Marjan Van de Kauter; Els Lefever; Veronique Hoste
    LT3: Applying Hybrid Terminology Extraction to Aspect-Based Sentiment Analysis
  165. S15-2123 [bib]: Anderson Kauer; Viviane Moreira
    UFRGS: Identifying Categories and Targets in Customer Reviews
  166. S15-2124 [bib]: Salud M. Jiménez-Zafra; Eugenio Martínez-Cámara; M. Teresa Martín-Valdivia; L. Alfonso Ureña López
    SINAI: Syntactic Approach for Aspect-Based Sentiment Analysis
  167. S15-2125 [bib]: Zhihua Zhang; Man Lan
    ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews
  168. S15-2126 [bib]: Ravikanth Repaka; Ranga Reddy Pallelra; Akshay Reddy Koppula; Venkata Subhash Movva
    UMDuluth-CS8761-12: A Novel Machine Learning Approach for Aspect Based Sentiment Analysis
  169. S15-2127 [bib]: Iñaki San Vicente; Xabier Saralegi; Rodrigo Agerri
    EliXa: A Modular and Flexible ABSA Platform
  170. S15-2128 [bib]: Hussam Hamdan; Patrice Bellot; Frederic Bechet
    Lsislif: CRF and Logistic Regression for Opinion Target Extraction and Sentiment Polarity Analysis
  171. S15-2129 [bib]: Satarupa Guha; Aditya Joshi; Vasudeva Varma
    SIEL: Aspect Based Sentiment Analysis in Reviews
  172. S15-2130 [bib]: José Saias
    Sentiue: Target and Aspect based Sentiment Analysis in SemEval-2015 Task 12
  173. S15-2131 [bib]: Zhifei Zhang; Jian-Yun Nie; Hongling Wang
    TJUdeM: A Combination Classifier for Aspect Category Detection and Sentiment Polarity Classification
  174. S15-2132 [bib]: Anne-Lyse Minard; Manuela Speranza; Eneko Agirre; Itziar Aldabe; Marieke van Erp; Bernardo Magnini; German Rigau; Ruben Urizar
    SemEval-2015 Task 4: TimeLine: Cross-Document Event Ordering
  175. S15-2133 [bib]: Tommaso Caselli; Antske Fokkens; Roser Morante; Piek Vossen
    SPINOZA_VU: An NLP Pipeline for Cross Document TimeLines
  176. S15-2134 [bib]: Hector Llorens; Nathanael Chambers; Naushad UzZaman; Nasrin Mostafazadeh; James Allen; James Pustejovsky
    SemEval-2015 Task 5: QA TempEval - Evaluating Temporal Information Understanding with Question Answering
  177. S15-2135 [bib]: Paramita Mirza; Anne-Lyse Minard
    HLT-FBK: a Complete Temporal Processing System for QA TempEval
  178. S15-2136 [bib]: Steven Bethard; Leon Derczynski; Guergana Savova; James Pustejovsky; Marc Verhagen
    SemEval-2015 Task 6: Clinical TempEval
  179. S15-2137 [bib]: Sumithra Velupillai; Danielle L Mowery; Samir Abdelrahman; Lee Christensen; Wendy Chapman
    BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge
  180. S15-2138 [bib]: Borja Navarro; Estela Saquete
    GPLSIUA: Combining Temporal Information and Topic Modeling for Cross-Document Event Ordering
  181. S15-2139 [bib]: Bilel Moulahi; Jannik Strötgen; Michael Gertz; Lynda Tamine
    HeidelToul: A Baseline Approach for Cross-document Event Ordering
  182. S15-2140 [bib]: Yongshuai Hou; Cong Tan; Qingcai Chen; Xiaolong Wang
    HITSZ-ICRC: An Integration Approach for QA TempEval Challenge
  183. S15-2141 [bib]: Hegler Tissot; Genevieve Gorrell; Angus Roberts; Leon Derczynski; Marcos Didonet Del Fabro
    UFPRSheffield: Contrasting Rule-based and Support Vector Machine Approaches to Time Expression Identification in Clinical TempEval
  184. S15-2142 [bib]: Haritz Salaberri; Iker Salaberri; Olatz Arregi; Beñat Zapirain
    IXAGroupEHUDiac: A Multiple Approach System towards the Diachronic Evaluation of Texts
  185. S15-2143 [bib]: Liling Tan; Noam Ordan
    USAAR-CHRONOS: Crawling the Web for Temporal Annotations
  186. S15-2144 [bib]: Marcos Zampieri; Alina Maria Ciobanu; Vlad Niculae; Liviu P. Dinu
    AMBRA: A Ranking Approach to Temporal Text Classification
  187. S15-2145 [bib]: Haritz Salaberri; Olatz Arregi; Beñat Zapirain
    IXAGroupEHUSpaceEval: (X-Space) A WordNet-based approach towards the Automatic Recognition of Spatial Information following the ISO-Space Annotation Scheme
  188. S15-2146 [bib]: Jennifer D'Souza; Vincent Ng
    UTD: Ensemble-Based Spatial Relation Extraction
  189. S15-2147 [bib]: Octavian Popescu; Carlo Strapparava
    SemEval 2015, Task 7: Diachronic Text Evaluation
  190. S15-2148 [bib]: Terrence Szymanski; Gerard Lynch
    UCD : Diachronic Text Classification with Character, Word, and Syntactic N-grams
  191. S15-2149 [bib]: James Pustejovsky; Parisa Kordjamshidi; Marie-Francine Moens; Aaron Levine; Seth Dworman; Zachary Yocum
    SemEval-2015 Task 8: SpaceEval
  192. S15-2150 [bib]: Eric Nichols; Fadi Botros
    SpRL-CWW: Spatial Relation Classification with Independent Multi-class Models
  193. S15-2151 [bib]: Georgeta Bordea; Paul Buitelaar; Stefano Faralli; Roberto Navigli
    SemEval-2015 Task 17: Taxonomy Extraction Evaluation (TExEval)
  194. S15-2152 [bib]: Gregory Grefenstette
    INRIASAC: Simple Hypernym Extraction Methods
  195. S15-2153 [bib]: Stephan Oepen; Marco Kuhlmann; Yusuke Miyao; Daniel Zeman; Silvie Cinkova; Dan Flickinger; Jan Hajic; Zdenka Uresova
    SemEval 2015 Task 18: Broad-Coverage Semantic Dependency Parsing
  196. S15-2154 [bib]: Yantao Du; Fan Zhang; Xun Zhang; Weiwei Sun; Xiaojun Wan
    Peking: Building Semantic Dependency Graphs with a Hybrid Parser
  197. S15-2155 [bib]: Liling Tan; Rohit Gupta; Josef van Genabith
    USAAR-WLV: Hypernym Generation with Deep Neural Nets
  198. S15-2156 [bib]: Bamfa Ceesay; Wen Juan Hou
    NTNU: An Unsupervised Knowledge Approach for Taxonomy Extraction
  199. S15-2157 [bib]: Els Lefever
    LT3: A Multi-modular Approach to Automatic Taxonomy Construction
  200. S15-2158 [bib]: Luis Espinosa Anke; Horacio Saggion; Francesco Ronzano
    TALN-UPF: Taxonomy Learning Exploiting CRF-Based Hypernym Extraction on Encyclopedic Definitions
  201. S15-2159 [bib]: Guillaume Cleuziou; Davide Buscaldi; Gaël Dias; Vincent Levorato; Christine Largeron
    QASSIT: A Pretopological Framework for the Automatic Construction of Lexical Taxonomies from Raw Texts
  202. S15-2160 [bib]: Guntis Barzdins; Peteris Paikens; Didzis Gosko
    Riga: from FrameNet to Semantic Frames with C6.0 Rules
  203. S15-2161 [bib]: Jenna Kanerva; Juhani Luotolahti; Filip Ginter
    Turku: Semantic Dependency Parsing as a Sequence Classification
  204. S15-2162 [bib]: Mariana S. C. Almeida; André F. T. Martins
    Lisbon: Evaluating TurboSemanticParser on Multiple Languages and Out-of-Domain Data
  205. Proceedings of the 11th Workshop on Multiword Expressions

  206. W15-09 [bib]: Entire Volume
  207. W15-0900 [bib]: Front Matter

  208. W15-0901 [bib]: Michael Nokel; Natalia Loukachevitch
    A Method of Accounting Bigrams in Topic Models
  209. W15-0902 [bib]: Federico Sangati; Andreas van Cranenburgh
    Multiword Expression Identification with Recurring Tree Fragments and Association Measures
  210. W15-0903 [bib]: Fabienne Cap; Manju Nirmal; Marion Weller; Sabine Schulte im Walde
    How to Account for Idiomatic German Support Verb Constructions in Statistical Machine Translation
  211. W15-0904 [bib]: Meghdad Farahmand; Aaron Smith; Joakim Nivre
    A Multiword Expression Data Set: Annotating Non-Compositionality and Conventionalization for English Noun Compounds
  212. W15-0905 [bib]: Meghdad Farahmand; Joakim Nivre
    Modeling the Statistical Idiosyncrasy of Multiword Expressions
  213. W15-0906 [bib]: Elena Tutubalina
    Clustering-based Approach to Multiword Expression Extraction and Ranking
  214. W15-0907 [bib]: Paul Kay; Laura A. Michaelis
    How Constructions Mean
  215. W15-0908 [bib]: Alexandre Rondon; Helena Caseli; Carlos Ramisch
    Never-Ending Multiword Expressions Learning
  216. W15-0909 [bib]: Bahar Salehi; Nitika Mathur; Paul Cook; Timothy Baldwin
    The Impact of Multiword Expression Compositionality on Machine Translation Evaluation
  217. W15-0910 [bib]: Branimir Boguraev; Esme Manandise; Benjamin Segal
    The Bare Necessities: Increasing Lexical Coverage for Multi-Word Domain Terms with Less Lexical Data
  218. W15-0911 [bib]: Khang Nhut Lam; Feras Al Tarouti; Jugal Kalita
    Phrase translation using a bilingual dictionary and n-gram data: A case study from Vietnamese to English
  219. W15-0912 [bib]: Gülşen Eryiğit; Kübra ADALI; Dilara Torunoğlu-Selamet; Umut Sulubacak; Tuğba Pamay
    Annotation and Extraction of Multiword Expressions in Turkish Treebanks
  220. W15-0913 [bib]: Aron Marvel; Jean-Pierre Koenig
    Event Categorization beyond Verb Senses
  221. W15-0914 [bib]: Adam Goodkind; Andrew Rosenberg
    Muddying The Multiword Expression Waters: How Cognitive Demand Affects Multiword Expression Production
  222. W15-0915 [bib]: Julian Brooke; Adam Hammond; David Jacob; Vivian Tsang; Graeme Hirst; Fraser Shein
    Building a Lexicon of Formulaic Language for Language Learners
  223. Proceedings of the Ninth Workshop on Syntax, Semantics and Structure in Statistical Translation

  224. W15-10 [bib]: Entire Volume
  225. W15-1000 [bib]: Front Matter

  226. W15-1001 [bib]: Dun Deng; Nianwen Xue; Shiman Guo
    Harmonizing word alignments and syntactic structures for extracting phrasal translation equivalents
  227. W15-1002 [bib]: Antonio Valerio Miceli Barone; Giuseppe Attardi
    Non-projective Dependency-based Pre-Reordering with Recurrent Neural Network for Machine Translation
  228. W15-1003 [bib]: Federico Fancellu; Bonnie Webber
    Translating Negation: Induction, Search And Model Errors
  229. W15-1004 [bib]: Nora Aranberri
    SMT error analysis and mapping to syntactic, semantic and structural fixes
  230. W15-1005 [bib]: Maryam Aminian; Mahmoud Ghoneim; Mona Diab
    Unsupervised False Friend Disambiguation Using Contextual Word Clusters and Parallel Word Alignments
  231. W15-1006 [bib]: Marianna Apidianaki; Benjamin Marie
    METEOR-WSD: Improved Sense Matching in MT Evaluation
  232. W15-1007 [bib]: Mikel Artetxe; Eneko Agirre; Iñaki Alegria; Gorka Labaka
    Analyzing English-Spanish Named-Entity enhanced Machine Translation
  233. W15-1008 [bib]: Marion Weller; Alexander Fraser; Sabine Schulte im Walde
    Predicting Prepositions for SMT
  234. W15-1009 [bib]: Antonio Valerio Miceli Barone
    Translation reranking using source phrase dependency features
  235. W15-1010 [bib]: Tom Vanallemeersch; Vincent Vandeghinste
    Semantics-based pretranslation for SMT using fuzzy matches
  236. W15-1011 [bib]: Mohammad Salameh; Colin Cherry; Grzegorz Kondrak
    What Matters Most in Morphologically Segmented SMT Models?
  237. W15-1012 [bib]: Shumin Wu; Martha Palmer
    Improving Chinese-English PropBank Alignment
  238. Proceedings of the First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics

  239. W15-27 [bib]: Entire Volume
  240. W15-2700 [bib]: Front Matter

  241. W15-2701 [bib]: Tamara Polajnar; Laura Rimell; Stephen Clark
    An Exploration of Discourse-Based Sentence Spaces for Compositional Distributional Semantics
  242. W15-2702 [bib]: Kleio-Isidora Mavridou; Annemarie Friedrich; Melissa Peate Sørensen; Alexis Palmer; Manfred Pinkal
    Linking discourse modes and situation entity types in a cross-linguistic corpus study
  243. W15-2703 [bib]: Hannah Rohde; Anna Dickinson; Chris Clark; Annie Louis; Bonnie Webber
    Recovering discourse relations: Varying influence of discourse adverbials
  244. W15-2704 [bib] [attachment]: Rodolfo Delmonte; Rocco Tripodi
    Semantics and Discourse Processing for Expressive TTS
  245. W15-2705 [bib]: Mengfei Zhou; Anette Frank; Annemarie Friedrich; Alexis Palmer
    Semantically Enriched Models for Modal Sense Classification
  246. W15-2706 [bib]: Taraneh Khazaei; Lu Xiao; Robert Mercer
    Identification and Disambiguation of Lexical Cues of Rhetorical Relations across Different Text Genres
  247. W15-2707 [bib]: Rashmi Prasad; Bonnie Webber; Alan Lee; Sameer Pradhan; Aravind Joshi
    Bridging Sentential and Discourse-level Semantics through Clausal Adjuncts
  248. W15-2708 [bib]: Rui Correia; Maxine Eskenazi; Nuno Mamede
    Lexical Level Distribution of Metadiscourse in Spoken Language
  249. W15-2709 [revisions: v2] [bib]: Maria Pershina; Yifan He; Ralph Grishman
    Idiom Paraphrases: Seventh Heaven vs Cloud Nine
  250. W15-2710 [bib]: Yuki Murakami; Yoshimasa Tsuruoka
    Where Was Alexander the Great in 325 BC? Toward Understanding History Text with a World Model
  251. W15-2711 [bib]: Héctor Martínez Alonso; Anders Johannsen; Oier Lopez de Lacalle; Eneko Agirre
    Predicting word sense annotation agreement
  252. W15-2712 [bib]: Raffaella Bernardi; Gemma Boleda; Raquel Fernandez; Denis Paperno
    Distributional Semantics in Use


  1. Proceedings of Workshop on Lexical and Grammatical Resources for Language Processing

  2. W14-58 [bib]: Entire Volume
  3. W14-5800 [bib]: Front Matter

  4. W14-5801 [bib]: Konstantinos Chatzitheodorou
    Paraphrasing of Italian Support Verb Constructions based on Lexical and Grammatical Resources
  5. W14-5802 [bib]: Dana Dannells; Karin Friberg Heppin; Anna Ehrlemark
    Using language technology resources and tools to construct Swedish FrameNet
  6. W14-5803 [bib]: Thierry Declerck
    Harmonizing Lexical Data for their Linking to Knowledge Objects in the Linked Data Framework
  7. W14-5804 [bib]: Maria Pia di Buono; Mario Monteleone; Annibale Elia
    Terminology and Knowledge Representation. Italian Linguistic Resources for the Archaeological Domain
  8. W14-5805 [bib]: Guy Emerson; Thierry Declerck
    SentiMerge: Combining Sentiment Lexicons in a Bayesian Framework
  9. W14-5806 [bib]: Voula Giouli; Aggeliki Fotopoulou
    Linguistically motivated Language Resources for Sentiment Analysis
  10. W14-5807 [bib]: Gözde Gül İşgüder; Eşref Adalı
    Using Morphosemantic Information in Construction of a Pilot Lexical Semantic Resource for Turkish
  11. W14-5808 [revisions: v1] [bib]: Jan Hajic; Ondrej Bojar; Zdenka Uresova
    Comparing Czech and English AMRs
  12. W14-5809 [bib]: Nabil Hathout; Franck Sajous; Basilio Calderone
    Acquisition and enrichment of morphological and morphosemantic knowledge from the French Wiktionary
  13. W14-5810 [bib]: Jingxia Lin; Hongzhi Xu; Menghan JIANG; Chu-Ren Huang
    Annotation and Classification of Light Verbs and Light Verb Variations in Mandarin Chinese
  14. W14-5811 [bib]: Adam Przepiórkowski; Elżbieta Hajnicz; Agnieszka Patejuk; Marcin Woliński
    Extended phraseological information in a valence dictionary for NLP applications
  15. W14-5812 [bib]: Amanda Rassi; Cristina Santos-Turati; Jorge Baptista; Nuno Mamede; Oto Vale
    The fuzzy boundaries of operator verb and support verb constructions with dar “give” and ter “have” in Brazilian Portuguese
  16. W14-5813 [bib]: Fatiha Sadat; Fatma Mallek; Mohamed Boudabous; Rahma Sellami; Atefeh Farzindar
    Collaboratively Constructed Linguistic Resources for Language Variants and their Exploitation in NLP Application – the case of Tunisian Arabic and the Social Media
  17. W14-5814 [bib]: Silke Scheible; Sabine Schulte im Walde
    A Database of Paradigmatic Semantic Relation Pairs for German Nouns, Verbs, and Adjectives
  18. W14-5815 [bib]: Leen Sevens; Vincent Vandeghinste; Frank Van Eynde
    Improving the Precision of Synset Links Between Cornetto and Princeton WordNet
  19. W14-5816 [bib]: Ashwini Vaidya; Owen Rambow; Martha Palmer
    Light verb constructions with `do' and `be' in Hindi: A TAG analysis
  20. W14-5817 [bib]: Simonetta Vietri
    The Lexicon-Grammar of Italian Idioms
  21. W14-5818 [bib]: Shichang Wang; Chu-Ren Huang; Yao Yao; Angel Chan
    Building a Semantic Transparency Dataset of Chinese Nominal Compounds: A Practice of Crowdsourcing Methodology
  22. W14-5819 [bib]: Hongzhi Xu; Chu-Ren Huang
    Annotate and Identify Modalities, Speech Acts and Finer-Grained Event Types in Chinese Text
  23. Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon (CogALex)

  24. W14-47 [bib]: Entire Volume
  25. W14-4700 [bib]: Front Matter

  26. W14-4701 [bib]: Reinhard Rapp; Michael Zock
    The CogALex-IV Shared Task on the Lexical Access Problem
  27. W14-4702 [bib]: Urmi Ghosh; Sambhav Jain; Paul Soma
    A Two-Stage Approach for Computing Associative Responses to a Set of Stimulus Words
  28. W14-4703 [bib]: Pavel Smrz; Lubomir Otrusina
    Deep Learning from Web-Scale Corpora for Better Dictionary Interfaces
  29. W14-4704 [bib]: Josu Goikoetxea; Eneko Agirre; Aitor Soroa
    Exploring the use of word embeddings and random walks on Wikipedia for the CogAlex shared task
  30. W14-4705 [bib]: Michael Flor; Beata Beigman Klebanov
    ETS Lexical Associations System for the COGALEX-4 Shared Task
  31. W14-4706 [bib]: Rico Feist; Daniel Gerighausen; Manuel Konrad; Georg Richter; Thomas Eckart; Dirk Goldhahn; Uwe Quasthoff
    Using Significant Word Co-occurences for the Lexical Access Problem
  32. W14-4707 [bib]: Gabriella Lapesa; Stefan Evert
    NaDiR: Naive Distributional Response Generation
  33. W14-4708 [bib]: Gemma Bel Enguix
    Retrieving Word Associations with a Simple Neighborhood Algorithm in a Graph-based Resource
  34. W14-4709 [bib]: Laurianne Sitbon; Lance De Vine
    Predicting sense convergence with distributional semantics: an application to the CogaLex 2014 shared task
  35. W14-4710 [bib]: Catalin Mititelu; Verginica Barbu Mititelu
  36. W14-4711 [bib]: Roberto Navigli
    (Digital) Goodies from the ERC Wishing Well: BabelNet, Babelfy, Video Games with a Purpose and the Wikipedia Bitaxonomy
  37. W14-4712 [bib]: Jin Matsuoka; Yves Lepage
    Measuring Similarity from Word Pair Matrices with Syntagmatic and Paradigmatic Associations
  38. W14-4713 [bib]: Ying Zhang; Mathieu Mangeot; Valérie Bellynck; Christian Boitet
    Jibiki-LINKS: a tool between traditional dictionaries and lexical networks for modelling lexical resources
  39. W14-4714 [bib]: Chan-Chia Hsu
    When Frequency Data Meet Dispersion Data in the Extraction of Multi-word Units from a Corpus: A Study of Trigrams in Chinese
  40. W14-4715 [bib]: Shichang Wang; Chu-Ren Huang; Yao Yao; Angel Chan
    Exploring Mental Lexicon in an Efficient and Economic Way: Crowdsourcing Method for Linguistic Experiments
  41. W14-4716 [bib]: Serra Sinem Tekiroglu; Gözde Özbal; Carlo Strapparava
    A Computational Approach to Generate a Sensorial Lexicon
  42. W14-4717 [bib]: Helena Gao
    Database Design of an Online E-Learning Tool of Chinese Classifiers
  43. W14-4718 [bib]: Francesca Quattri; Pease Adam; John P. McCrae
    Default Physical Measurements in SUMO
  44. W14-4719 [bib]: Dekai Wu; Chi-kiu Lo; Markus Saers
    Lexical Access Preference and Constraint Strategies for Improving Multiword Expression Association within Semantic MT Evaluation
  45. W14-4720 [bib]: Nabil Gader; Aurore Koehl; Alain Polguère
    A Lexical Network with a Morphological Model in It
  46. W14-4721 [bib]: Andrew Gargett; Josef Ruppenhofer; John Barnden
    Dimensions of Metaphorical Meaning
  47. W14-4722 [bib]: Terry Joyce; Bor Hodošček
    Constructing an Ontology of Japanese Lexical Properties: Specifying its Property Structures and Lexical Entries
  48. W14-4723 [bib]: Marie-Claude L' Homme; Benoît Robichaud
    Frames and terminology: representing predicative terms in the field of the environment
  49. W14-4724 [bib]: John P. McCrae; Francesca Quattri; Christina Unger; Philipp Cimiano
    Modelling the Semantics of Adjectives in the Ontology-Lexicon Interface
  50. W14-4725 [bib]: Samira Shaikh; Tomek Strzalkowski; Kit Cho; Ting Liu; George Aaron Broadwell; Laurie Feldman; Sarah Taylor; Boris Yamrom; Ching-Sheng Lin; Ning Sa; Ignacio Cases; Yuliya Peshkova; Kyle Elliot
    Discovering Conceptual Metaphors using Source Domain Spaces
  51. W14-4726 [bib]: Michael Zock
    Wordfinding Problems and How to Overcome them Ultimately With the Help of a Computer
  52. Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014)

  53. S14-1 [bib]: Entire Volume
  54. S14-1000 [bib]: Front Matter

  55. S14-1001 [bib]: Anders Johannsen; Dirk Hovy; Héctor Martínez Alonso; Barbara Plank; Anders Søgaard
    More or less supervised supersense tagging of Twitter
  56. S14-1002 [bib]: Anil Bandhakavi; Nirmalie Wiratunga; Deepak P; Stewart Massie
    Generating a Word-Emotion Lexicon from #Emotional Tweets
  57. S14-1003 [bib]: Jared Kramer; Clara Gordon
    Improvement of a Naive Bayes Sentiment Classifier Using MRS-Based Features
  58. S14-1004 [bib]: Nicolai Erbs; Iryna Gurevych; Torsten Zesch
    Sense and Similarity: A Study of Sense-level Similarity Measures
  59. S14-1005 [bib]: Steve L. Manion; Raazesh Sainudiin
    An Iterative `Sudoku Style' Approach to Subgraph-based Word Sense Disambiguation
  60. S14-1006 [bib]: Nitish Aggarwal; Kartik Asooja; Paul Buitelaar
    Exploring ESA to Improve Word Relatedness
  61. S14-1007 [revisions: v2] [bib]: Gabriel Bernier-Colborne
    Identifying semantic relations in a specialized corpus through distributional analysis of a cooccurrence tensor
  62. S14-1008 [bib]: Daniel Dahlmeier
    Learning the Peculiar Value of Actions
  63. S14-1009 [bib]: Kathrin Eichler; Aleksandra Gabryszak; Günter Neumann
    An analysis of textual inference in German customer emails
  64. S14-1010 [bib]: Anand Gupta; Manpreet Kaur; Shachar Mirkin; Adarsh Singh; Aseem Goyal
    Text Summarization through Entailment-based Minimum Vertex Cover
  65. S14-1011 [bib]: Wojciech Jaworski; Adam Przepiórkowski
    Semantic Roles in Grammar Engineering
  66. S14-1012 [bib]: Rasoul Kaljahi; Jennifer Foster; Johann Roturier
    Semantic Role Labelling with minimal resources: Experiments with French
  67. S14-1013 [bib]: Nghia The Pham; Lorenzo Ferrone; Fabio Massimo Zanzotto
    Compositional Distributional Semantics Models in Chunk-based Smoothed Tree Kernels
  68. S14-1014 [bib]: James Pustejovsky; Nikhil Krishnaswamy
    Generating Simulations of Motion Events from Verbal Descriptions
  69. S14-1015 [bib]: Mark Yatskar; Michel Galley; Lucy Vanderwende; Luke Zettlemoyer
    See No Evil, Say No Evil: Description Generation from Densely Labeled Images
  70. S14-1016 [bib]: Anh Tran; Mihai Surdeanu; Paul Cohen
    Extracting Latent Attributes from Video Scenes Using Text as Background Knowledge
  71. S14-1017 [bib]: Can Özmen; Alexander Streicher; Andrea Zielinski
    Using Text Segmentation Algorithms for the Automatic Generation of E-Learning Courses
  72. S14-1018 [revisions: v2] [bib]: William Schuler; Adam Wheeler
    Cognitive Compositional Semantics using Continuation Dependencies
  73. S14-1019 [bib]: Raquel Fernandez; Staffan Larsson
    Vagueness and Learning: A Type-Theoretic Approach
  74. S14-1020 [bib]: Gabriella Lapesa; Stefan Evert; Sabine Schulte im Walde
    Contrasting Syntagmatic and Paradigmatic Relations: Insights from Distributional Semantic Models
  75. S14-1021 [bib]: Germán Kruszewski; Marco Baroni
    Dead parrots make bad pets: Exploring modifier effects in noun phrases
  76. S14-1022 [bib]: Stefan Bott; Sabine Schulte im Walde
    Syntactic Transfer Patterns of German Particle Verbs and their Impact on Lexical Semantics
  77. Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)

  78. S14-2 [bib]: Entire Volume
  79. S14-2000 [bib]: Front Matter

  80. S14-2001 [bib]: Marco Marelli; Luisa Bentivogli; Marco Baroni; Raffaella Bernardi; Stefano Menini; Roberto Zamparelli
    SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment
  81. S14-2002 [bib]: Ioannis Klasinas; Elias Iosif; Katerina Louka; Alexandros Potamianos
    SemEval-2014 Task 2: Grammar Induction for Spoken Dialogue Systems
  82. S14-2003 [bib]: David Jurgens; Mohammad Taher Pilehvar; Roberto Navigli
    SemEval-2014 Task 3: Cross-Level Semantic Similarity
  83. S14-2004 [bib]: Maria Pontiki; Dimitris Galanis; John Pavlopoulos; Harris Papageorgiou; Ion Androutsopoulos; Suresh Manandhar
    SemEval-2014 Task 4: Aspect Based Sentiment Analysis
  84. S14-2005 [bib]: Maarten van Gompel; Iris Hendrickx; Antal van den Bosch; Els Lefever; Veronique Hoste
    SemEval 2014 Task 5 - L2 Writing Assistant
  85. S14-2006 [bib]: Kais Dukes
    SemEval-2014 Task 6: Supervised Semantic Parsing of Robotic Spatial Commands
  86. S14-2007 [bib]: Sameer Pradhan; Noémie Elhadad; Wendy Chapman; Suresh Manandhar; Guergana Savova
    SemEval-2014 Task 7: Analysis of Clinical Text
  87. S14-2008 [bib]: Stephan Oepen; Marco Kuhlmann; Yusuke Miyao; Daniel Zeman; Dan Flickinger; Jan Hajic; Angelina Ivanova; Yi Zhang
    SemEval 2014 Task 8: Broad-Coverage Semantic Dependency Parsing
  88. S14-2009 [bib]: Sara Rosenthal; Alan Ritter; Preslav Nakov; Veselin Stoyanov
    SemEval-2014 Task 9: Sentiment Analysis in Twitter
  89. S14-2010 [bib]: Eneko Agirre; Carmen Banea; Claire Cardie; Daniel Cer; Mona Diab; Aitor Gonzalez-Agirre; Weiwei Guo; Rada Mihalcea; German Rigau; Janyce Wiebe
    SemEval-2014 Task 10: Multilingual Semantic Textual Similarity
  90. S14-2011 [bib]: Osman Baskaya
    AI-KU: Using Co-Occurrence Modeling for Semantic Similarity
  91. S14-2012 [bib]: Corentin Ribeyre; Eric Villemonte de la Clergerie; Djamé Seddah
    Alpage: Transition-based Semantic Graph Parsing with Syntactic Features
  92. S14-2013 [bib]: Ana Alves; Adriana Ferrugento; Mariana Lourenço; Filipe Rodrigues
    ASAP: Automatic Semantic Alignment for Phrases
  93. S14-2014 [bib]: Svetlana Stoyanchev; Hyuckchul Jung; John Chen; Srinivas Bangalore
    AT&T: The Tag&Parse Approach to Semantic Parsing of Robot Spatial Commands
  94. S14-2015 [bib]: Rafael - Michael Karampatsis; John Pavlopoulos; Prodromos Malakasiotis
    AUEB: Two Stage Sentiment Analysis of Social Network Messages
  95. S14-2016 [bib]: John Philip McCrae; Philipp Cimiano
    Bielefeld SC: Orthonormal Topic Modelling for Grammar Induction
  96. S14-2017 [bib]: Nádia Silva; Estevam Hruschka; Eduardo Hruschka
    Biocom Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble
  97. S14-2018 [bib]: Nádia Silva; Estevam Hruschka; Eduardo Hruschka
    Biocom Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble
  98. S14-2019 [bib]: Sérgio Matos; Tiago Nunes; José Luís Oliveira
    BioinformaticsUA: Concept Recognition in Clinical Narratives Using a Modular and Highly Efficient Text Processing Framework
  99. S14-2020 [bib]: Pavel Blinov; Eugeny Kotelnikov
    Blinov: Distributed Representations of Words for Aspect-Based Sentiment Analysis at SemEval 2014
  100. S14-2021 [bib]: Saul Leon; Darnes Vilariño; David Pinto; Mireya Tovar; Beatriz Beltrán
    BUAP: Evaluating Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment
  101. S14-2022 [bib]: Darnes Vilariño; David Pinto; Saul Leon; Mireya Tovar; Beatriz Beltrán
    BUAP: Evaluating Features for Multilingual and Cross-Level Semantic Textual Similarity
  102. S14-2023 [bib]: David Pinto; Darnes Vilariño; Saul Leon; Miguel Jasso; Cupertino Lucero
    BUAP: Polarity Classification of Short Texts
  103. S14-2024 [bib]: Yves Bestgen
    CECL: a New Baseline and a Non-Compositional Approach for the Sick Benchmark
  104. S14-2025 [bib]: João Leal; Sara Pinto; Ana Bento; Hugo Gonçalo Oliveira; Paulo Gomes
    CISUC-KIS: Tackling Message Polarity Classification with a Large and Diverse Set of Features
  105. S14-2026 [bib]: Pablo Gamallo; Marcos Garcia
    Citius: A Naive-Bayes Strategy for Sentiment Analysis on English Tweets
  106. S14-2027 [bib]: Sam Thomson; Brendan O'Connor; Jeffrey Flanigan; David Bamman; Jesse Dodge; Swabha Swayamdipta; Nathan Schneider; Chris Dyer; Noah A. Smith
    CMU: Arc-Factored, Discriminative Semantic Dependency Parsing
  107. S14-2028 [bib]: Kamla Al-Mannai; Hanan Alshikhabobakr; Sabih Bin Wasi; Rukhsar Neyaz; Houda Bouamor; Behrang Mohit
    CMUQ-Hybrid: Sentiment Classification By Feature Engineering and Parameter Tuning
  108. S14-2029 [bib]: Sabih Bin Wasi; Rukhsar Neyaz; Houda Bouamor; Behrang Mohit
    CMUQ$@$Qatar:Using Rich Lexical Features for Sentiment Analysis on Twitter
  109. S14-2030 [bib]: Cyril Goutte; Michel Simard; Marine Carpuat
    CNRC-TMT: Second Language Writing Assistant System Description
  110. S14-2031 [bib]: Sara Rosenthal; Kathy McKeown; Apoorv Agarwal
    Columbia NLP: Sentiment Detection of Sentences and Subjective Phrases in Social Media
  111. S14-2032 [bib]: Kim Schouten; Flavius Frasincar; Franciska de Jong
    COMMIT-P1WP3: A Co-occurrence Based Approach to Aspect-Level Sentiment Analysis
  112. S14-2033 [bib]: Duyu Tang; Furu Wei; Bing Qin; Ting Liu; Ming Zhou
    Coooolll: A Deep Learning System for Twitter Sentiment Classification
  113. S14-2034 [bib]: Natalie Schluter; Anders Søgaard; Jakob Elming; Dirk Hovy; Barbara Plank; Héctor Martínez Alonso; Anders Johanssen; Sigrid Klerke
    Copenhagen-Malmö: Tree Approximations of Semantic Parsing Problems
  114. S14-2035 [bib]: Julio Villena-Román; Janine García-Morera; José Carlos González-Cristóbal
    DAEDALUS at SemEval-2014 Task 9: Comparing Approaches for Sentiment Analysis in Twitter
  115. S14-2036 [bib]: Joachim Wagner; Piyush Arora; Santiago Cortes; Utsab Barman; Dasha Bogdanova; Jennifer Foster; Lamia Tounsi
    DCU: Aspect-based Polarity Classification for SemEval Task 4
  116. S14-2037 [bib]: Magdalena Kacmajor; John D. Kelleher
    DIT: Summarisation and Semantic Expansion in Evaluating Semantic Similarity
  117. S14-2038 [bib]: Zhiqiang Toh; Wenting Wang
    DLIREC: Aspect Term Extraction and Term Polarity Classification System
  118. S14-2039 [bib]: Md Arafat Sultan; Steven Bethard; Tamara Sumner
    DLS$@$CU: Sentence Similarity from Word Alignment
  119. S14-2040 [bib]: Ted Pedersen
    Duluth : Measuring Cross-Level Semantic Similarity with First and Second Order Dictionary Overlaps
  120. S14-2041 [bib]: Fangxi Zhang; Zhihua Zhang; Man Lan
    ECNU: A Combination Method and Multiple Features for Aspect Extraction and Sentiment Polarity Classification
  121. S14-2042 [bib]: Jiang Zhao; Man Lan; Tiantian Zhu
    ECNU: Expression- and Message-level Sentiment Orientation Classification in Twitter Using Multiple Effective Features
  122. S14-2043 [bib]: Tiantian Zhu; Man Lan
    ECNU: Leveraging on Ensemble of Heterogeneous Features and Information Enrichment for Cross Level Semantic Similarity Estimation
  123. S14-2044 [bib]: Jiang Zhao; Tiantian Zhu; Man Lan
    ECNU: One Stone Two Birds: Ensemble of Heterogenous Measures for Semantic Relatedness and Textual Entailment
  124. S14-2045 [bib]: Parth Pathak; Pinal Patel; Vishal Panchal; Narayan Choudhary; Amrish Patel; Gautam Joshi
    ezDI: A Hybrid CRF and SVM based Model for Detecting and Encoding Disorder Mentions in Clinical Notes
  125. S14-2046 [bib]: Ngoc Phuoc An Vo; Tommaso Caselli; Octavian Popescu
    FBK-TR: Applying SVM with Multiple Linguistic Features for Cross-Level Semantic Similarity
  126. S14-2047 [bib]: Ngoc Phuoc An Vo; Octavian Popescu; Tommaso Caselli
    FBK-TR: SVM for Semantic Relatedeness and Corpus Patterns for RTE
  127. S14-2048 [bib]: Javi Fernández; Yoan Gutiérrez; Jose Manuel Gómez; Patricio Martinez-Barco
    GPLSI: Supervised Sentiment Analysis in Twitter using Skipgrams
  128. S14-2049 [bib]: Lorenzo Ferrone; Fabio Massimo Zanzotto
    haLF: Comparing a Pure CDSM Approach with a Standard Machine Learning System for RTE
  129. S14-2050 [bib]: Jose G. Moreno; Rumen Moraliyski; Asma Berrezoug; Gaël Dias
    HulTech: A General Purpose System for Cross-Level Semantic Similarity based on Anchor Web Counts
  130. S14-2051 [bib]: Maryna Chernyshevich
    IHS R&D Belarus: Cross-domain extraction of product features using CRF
  131. S14-2052 [bib]: Utpal Kumar Sikdar; Asif Ekbal; Sriparna Saha
    IITP: A Supervised Approach for Disorder Mention Detection and Disambiguation
  132. S14-2053 [bib]: Deepak Kumar Gupta; Asif Ekbal
    IITP: Supervised Machine Learning for Aspect based Sentiment Analysis
  133. S14-2054 [bib]: Raja Selvarajan; Asif Ekbal
    IITPatna: Supervised Approach for Sentiment Analysis in Twitter
  134. S14-2055 [bib]: Alice Lai; Julia Hockenmaier
    Illinois-LH: A Denotational and Distributional Approach to Semantics
  135. S14-2056 [bib]: Yusuke Miyao; Stephan Oepen; Daniel Zeman
    In-House: An Ensemble of Pre-Existing Off-the-Shelf Parsers
  136. S14-2057 [bib]: VIKRAM SINGH; Arif Md. Khan; Asif Ekbal
    Indian Institute of Technology-Patna: Sentiment Analysis in Twitter
  137. S14-2058 [bib]: Sapna Negi; Paul Buitelaar
    INSIGHT Galway: Syntactic and Lexical Features for Aspect Based Sentiment Analysis
  138. S14-2059 [bib]: Fritjof Bornebusch; Glaucia Cancino; Melanie Diepenbeck; Rolf Drechsler; Smith Djomkam; Alvine Nzeungang Fanseu; Maryam Jalali; Marc Michael; Jamal Mohsen; Max Nitze; Christina Plump; Mathias Soeken; Fred Tchambo; Toni; Henning Ziegler
    iTac: Aspect Based Sentiment Analysis using Sentiment Trees and Dictionaries
  139. S14-2060 [bib]: Alex Rudnick; Levi King; Can Liu; Markus Dickinson; Sandra Kübler
    IUCL: Combining Information Sources for SemEval Task 5
  140. S14-2061 [bib]: Koldo Gojenola; Maite Oronoz; Alicia Perez; Arantza Casillas
    IxaMed: Applying Freeling and a Perceptron Sequential Tagger at the Shared Task on Analyzing Clinical Texts
  141. S14-2062 [bib]: Oliver Dürr; Fatih Uzdilli; Mark Cieliebak
    JOINT_FORCES: Unite Competing Sentiment Classifiers with Random Forest
  142. S14-2063 [bib]: Braja Gopal Patra; Soumik Mandal; Dipankar Das; Sivaji Bandyopadhyay
    JU_CSE: A Conditional Random Field (CRF) Based Approach to Aspect Based Sentiment Analysis
  143. S14-2064 [bib]: Swarnendu Ghosh; Nibaran Das; Teresa Gonçalves; Paulo Quaresma
    JU-Evora: A Graph Based Cross-Level Semantic Similarity Analysis using Discourse Information
  144. S14-2065 [bib]: Ameeta Agrawal; Aijun An
    Kea: Sentiment Analysis of Phrases Within Short Texts
  145. S14-2066 [bib]: Willem Mattelaer; Mathias Verbeke; Davide Nitti
    KUL-Eval: A Combinatory Categorial Grammar Approach for Improving Semantic Parsing of Robot Commands using Spatial Context
  146. S14-2067 [bib]: Beakal Gizachew Assefa
    KUNLPLab:Sentiment Analysis on Twitter Data
  147. S14-2068 [bib]: Marco Kuhlmann
    Linköping: Cubic-Time Graph Parsing with a Simple Scoring Scheme
  148. S14-2069 [bib]: Davide Buscaldi; Jorge García Flores; Joseph Le Roux; Nadi Tomeh; Belém Priego Sanchez
    LIPN: Introducing a new Geographical Context Similarity Measure and a Statistical Similarity Measure based on the Bhattacharyya coefficient
  149. S14-2070 [bib]: Cynthia Van Hee; Marjan Van de Kauter; Orphee De Clercq; Els Lefever; Veronique Hoste
    LT3: Sentiment Classification in User-Generated Content Using a Rich Feature Set
  150. S14-2071 [bib]: David Vilares; Miguel Hermo; Miguel A. Alonso; Carlos Gómez-Rodríguez; Yerai Doval
    LyS: Porting a Twitter Sentiment Analysis Approach from Spanish to English
  151. S14-2072 [bib]: Abhay Kashyap; Lushan Han; Roberto Yus; Jennifer Sleeman; Taneeya Satyapanich; Sunil Gandhi; Tim Finin
    Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity Systems
  152. S14-2073 [bib]: Alejandro Riveros; Maria De Arteaga; Fabio González; Sergio Jimenez; Henning Müller
    MindLab-UNAL: Comparing Metamap and T-mapper for Medical Concept Extraction in SemEval 2014 Task 7
  153. S14-2074 [bib]: Pedro Balage Filho; Lucas Avanço; Thiago Pardo; Maria das Graças Volpe Nunes
    NILC_USP: An Improved Hybrid System for Sentiment Analysis in Twitter Messages
  154. S14-2075 [bib]: Pedro Balage Filho; Thiago Pardo
    NILC_USP: Aspect Extraction using Semantic Labels
  155. S14-2076 [bib]: Svetlana Kiritchenko; Xiaodan Zhu; Colin Cherry; Saif Mohammad
    NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews
  156. S14-2077 [bib]: Xiaodan Zhu; Svetlana Kiritchenko; Saif Mohammad
    NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets
  157. S14-2078 [bib]: André Lynum; Partha Pakray; Björn Gambäck; Sergio Jimenez
    NTNU: Measuring Semantic Similarity with Sublexical Feature Representations and Soft Cardinality
  158. S14-2079 [bib]: Marek Kozlowski
    OPI: Semeval-2014 Task 3 System Description
  159. S14-2080 [bib]: Yantao Du; Fan Zhang; Weiwei Sun; Xiaojun Wan
    Peking: Profiling Syntactic Tree Parsing Techniques for Semantic Graph Parsing
  160. S14-2081 [bib]: Željko Agić; Alexander Koller
    Potsdam: Semantic Dependency Parsing by Bidirectional Graph-Tree Transformations and Syntactic Parsing
  161. S14-2082 [bib]: André F. T. Martins; Mariana S. C. Almeida
    Priberam: A Turbo Semantic Parser with Second Order Features
  162. S14-2083 [bib]: SV Ramanan; Senthil Nathan
    RelAgent: Entity Detection and Normalization for Diseases in Clinical Records: a Linguistically Driven Approach
  163. S14-2084 [bib]: Kilian Evang; Johan Bos
    RoBox: CCG with Structured Perceptron for Supervised Semantic Parsing of Robotic Spatial Commands
  164. S14-2085 [bib]: Ergun Bicici; Andy Way
    RTM-DCU: Referential Translation Machines for Semantic Similarity
  165. S14-2086 [bib]: Tobias Günther; Jean Vancoppenolle; Richard Johansson
    RTRGO: Enhancing the GU-MLT-LT System for Sentiment Analysis of Short Messages
  166. S14-2087 [bib]: Nora Hollenstein; Michael Amsler; Martina Bachmann; Manfred Klenner
    SA-UZH: Verb-based Sentiment Analysis
  167. S14-2088 [bib]: Kalliopi Zervanou; Nikolaos Malandrakis; Shrikanth Narayanan
    SAIL-GRS: Grammar Induction for Spoken Dialogue Systems using CF-IRF Rule Similarity
  168. S14-2089 [bib]: Nikolaos Malandrakis; Michael Falcone; Colin Vaz; Jesse James Bisogni; Alexandros Potamianos; Shrikanth Narayanan
    SAIL: Sentiment Analysis using Semantic Similarity and Contrast Features
  169. S14-2090 [bib]: Naveen Nandan; Daniel Dahlmeier; Akriti Vij; Nishtha Malhotra
    SAP-RI: A Constrained and Supervised Approach for Aspect-Based Sentiment Analysis
  170. S14-2091 [bib]: Akriti Vij; Nishta Malhotra; Naveen Nandan; Daniel Dahlmeier
    SAP-RI: Twitter Sentiment Analysis in Two Days
  171. S14-2092 [bib]: Pengfei Liu; Helen Meng
    SeemGo: Conditional Random Fields Labeling and Maximum Entropy Classification for Aspect Based Sentiment Analysis
  172. S14-2093 [bib]: Thomas Proisl; Stefan Evert; Paul Greiner; Besim Kabashi
    SemantiKLUE: Robust Semantic Similarity at Multiple Levels Using Maximum Weight Matching
  173. S14-2094 [bib]: Liling Tan; Anne Schumann; Jose Martinez; Francis Bond
    Sensible: L2 Translation Assistance by Emulating the Manual Post-Editing Process
  174. S14-2095 [bib]: José Saias
    Senti.ue: Tweet Overall Sentiment Classification Approach for SemEval-2014 Task 9
  175. S14-2096 [bib]: Stefan Evert; Thomas Proisl; Paul Greiner; Besim Kabashi
    SentiKLUE: Updating a Polarity Classifier in 48 Hours
  176. S14-2097 [bib]: Peter Ljunglöf
    ShrdLite: Semantic Parsing Using a Handmade Grammar
  177. S14-2098 [bib]: Carmen Banea; Di Chen; Rada Mihalcea; Claire Cardie; Janyce Wiebe
    SimCompass: Using Deep Learning Word Embeddings to Assess Cross-level Similarity
  178. S14-2099 [bib]: Salud María Jiménez-Zafra; Eugenio Martínez-Cámara; Maite Martin; L. Alfonso Urena Lopez
    SINAI: Voting System for Aspect Based Sentiment Analysis
  179. S14-2100 [bib]: Eugenio Martínez-Cámara; Salud María Jiménez-Zafra; Maite Martin; L. Alfonso Urena Lopez
    SINAI: Voting System for Twitter Sentiment Analysis
  180. S14-2101 [bib]: Clemens Schulze Wettendorf; Robin Jegan; Allan Körner; Julia Zerche; Nataliia Plotnikova; Julian Moreth; Tamara Schertl; Verena Obermeyer; Susanne Streil; Tamara Willacker; Stefan Evert
    SNAP: A Multi-Stage XML-Pipeline for Aspect Based Sentiment Analysis
  181. S14-2102 [bib]: Pingping Huang; Baobao Chang
    SSMT:A Machine Translation Evaluation View To Paragraph-to-Sentence Semantic Similarity
  182. S14-2103 [bib]: Boris Velichkov; Borislav Kapukaranov; Ivan Grozev; Jeni Karanesheva; Todor Mihaylov; Yasen Kiprov; Preslav Nakov; Ivan Koychev; Georgi Georgiev
    SU-FMI: System Description for SemEval-2014 Task 9 on Sentiment Analysis in Twitter
  183. S14-2104 [bib]: Hussam Hamdan; Patrice Bellot; Frederic Bechet
    Supervised Methods for Aspect-Based Sentiment Analysis
  184. S14-2105 [bib]: Martin Jaggi; Fatih Uzdilli; Mark Cieliebak
    Swiss-Chocolate: Sentiment Detection using Sparse SVMs and Part-Of-Speech n-Grams
  185. S14-2106 [bib]: Alexandre Denis; Samuel Cruz-Lara; Nadia Bellalem; Lotfi Bellalem
    Synalp-Empathic: A Valence Shifting Hybrid System for Sentiment Analysis
  186. S14-2107 [bib]: Viktor Hangya; Gabor Berend; István Varga; Richárd Farkas
    SZTE-NLP: Aspect level opinion mining exploiting syntactic cues
  187. S14-2108 [bib]: Melinda Katona; Richárd Farkas
    SZTE-NLP: Clinical Text Analysis with Named Entity Recognition
  188. S14-2109 [bib]: Arun kumar Jayapal; Martin Emms; John Kelleher
    TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach
  189. S14-2110 [bib]: Anubhav Gupta
    Team Z: Wiktionary as a L2 Writing Assistant
  190. S14-2111 [bib]: Yasuhide Miura; Shigeyuki Sakaki; Keigo Hattori; Tomoko Ohkuma
    TeamX: A Sentiment Analyzer with Enhanced Lexicon Mapping and Weighting Scheme for Unbalanced Data
  191. S14-2112 [bib]: Anubhav Gupta
    TeamZ: Measuring Semantic Textual Similarity for Spanish Using an Overlap-Based Approach
  192. S14-2113 [bib]: Hussam Hamdan; Patrice Bellot; Frederic Bechet
    The Impact of Z_score on Twitter Sentiment Analysis
  193. S14-2114 [bib]: Johannes Bjerva; Johan Bos; Rob van der Goot; Malvina Nissim
    The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity
  194. S14-2115 [bib]: Cicero dos Santos
    Think Positive: Towards Twitter Sentiment Analysis from Scratch
  195. S14-2116 [bib]: Ankur Parikh; Avinesh PVS; Joy Mustafi; Lalit Agarwalla; Ashish Mungi
    ThinkMiners: Disorder Recognition using Conditional Random Fields and Distributional Semantics
  196. S14-2117 [bib]: Tawunrat Chalothorn; Jeremy Ellman
    TJP: Identifying the Polarity of Tweets from Contexts
  197. S14-2118 [bib]: Jitendra Jonnagaddala; Manish Kumar; Hong-Jie Dai; Enny Rachmani; Chien-Yeh Hsu
    TMUNSW: Disorder Concept Recognition and Normalization in Clinical Notes for SemEval-2014 Task 7
  198. S14-2119 [bib]: Arodami Chorianopoulou; Georgia Athanasopoulou; Elias Iosif; Ioannis Klasinas; Alexandros Potamianos
    tucSage: Grammar Rule Induction for Spoken Dialogue Systems via Probabilistic Candidate Selection
  199. S14-2120 [bib]: Silvio Amir; Miguel B. Almeida; Bruno Martins; João Filgueiras; Mario J. Silva
    TUGAS: Exploiting unlabelled data for Twitter sentiment analysis
  200. S14-2121 [bib]: Jenna Kanerva; Juhani Luotolahti; Filip Ginter
    Turku: Broad-Coverage Semantic Parsing with Rich Features
  201. S14-2122 [bib]: Viktor Pekar; Naveed Afzal; Bernd Bohnet
    UBham: Lexical Resources and Dependency Parsing for Aspect-Based Sentiment Analysis
  202. S14-2123 [bib]: Eva Hasler
    UEdin: Translating L1 Phrases in L2 Context using Context-Sensitive SMT
  203. S14-2124 [bib]: Kateřina Veselovská; Aleš Tamchyna
    ÚFAL: Using Hand-crafted Rules in Aspect Based Sentiment Analysis on Parsed Data
  204. S14-2125 [bib]: Elisabeth Lien; Milen Kouylekov
    UIO-Lien: Entailment Recognition using Minimal Recursion Semantics
  205. S14-2126 [bib]: Lucie Flekova; Oliver Ferschke; Iryna Gurevych
    UKPDIPF: Lexical Semantic Approach to Sentiment Polarity Prediction in Twitter Data
  206. S14-2127 [bib]: André Leal; Diogo Gonçalves; Bruno Martins; Francisco M Couto
    ULisboa: Identification and Classification of Medical Concepts
  207. S14-2128 [bib]: Alexander Chavez; Héctor Dávila; Yoan Gutiérrez; Antonio Fernández-Orquín; Andrés Montoyo; Rafael Muñoz
    UMCC_DLSI_SemSim: Multilingual System for Measuring Semantic Textual Similarity
  208. S14-2129 [bib]: Yenier Castañeda; Armando Collazo; Elvis Crego; Jorge L. Garcia; Yoan Gutierrez; David Tomás; Andrés Montoyo; Rafael Muñoz
    UMCC_DLSI: A Probabilistic Automata for Aspect Based Sentiment Analysis
  209. S14-2130 [bib]: Pedro Aniel Sánchez-Mirabal; Yarelis Ruano Torres; Suilen Hernández Alvarado; Yoan Gutiérrez; Andrés Montoyo; Rafael Muñoz
    UMCC_DLSI: Sentiment Analysis in Twitter using Polirity Lexicons and Tweet Similarity
  210. S14-2131 [bib]: Sergio Jimenez; George Dueñas; Julia Baquero; Alexander Gelbukh
    UNAL-NLP: Combining Soft Cardinality Features for Semantic Textual Similarity, Relatedness and Entailment
  211. S14-2132 [bib]: Emilio Silva-Schlenker; Sergio Jimenez; Julia Baquero
    UNAL-NLP: Cross-Lingual Phrase Sense Disambiguation with Syntactic Dependency Trees
  212. S14-2133 [bib]: Pierpaolo Basile; Annalina Caputo; Giovanni Semeraro
    UNIBA: Combining Distributional Semantic Models and Word Sense Disambiguation for Textual Similarity
  213. S14-2134 [bib]: Giuseppe Attardi; Vittoria Cozza; Daniele Sartiano
    UniPi: Recognition of Mentions of Disorders in Clinical Text
  214. S14-2135 [bib]: Giuseppe Castellucci; Simone Filice; Danilo Croce; Roberto Basili
    UNITOR: Aspect Based Sentiment Analysis with Structured Learning
  215. S14-2136 [bib]: Richard Townsend; Aaron Kalair; Ojas Kulkarni; Rob Procter; Maria Liakata
    University_of_Warwick: SENTIADAPTRON - A Domain Adaptable Sentiment Analyser for Tweets - Meets SemEval
  216. S14-2137 [bib]: Reynier Ortega Bueno; Adrian Fonseca Bruzón; Carlos Muñiz Cuza; Yoan Gutiérrez; Andres Montoyo
    UO_UA: Using Latent Semantic Analysis to Build a Domain-Dependent Sentiment Resource
  217. S14-2138 [bib]: Miguel Rios
    UoW: Multi-task Learning Gaussian Process for Semantic Textual Similarity
  218. S14-2139 [bib]: Rohit Gupta; Hanna Bechara; Ismail El Maarouf; Constantin Orasan
    UoW: NLP techniques developed at the University of Wolverhampton for Semantic Similarity and Textual Entailment
  219. S14-2140 [bib]: Cindi Thompson
    USF: Chunking for Aspect-term Identification & Polarity Classification
  220. S14-2141 [bib]: Islam Beltagy; Stephen Roller; Gemma Boleda; Katrin Erk; Raymond Mooney
    UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic
  221. S14-2142 [bib]: Yaoyun Zhang; Jingqi Wang; Buzhou Tang; Yonghui Wu; Min Jiang; Yukun Chen; Hua Xu
    UTH_CCB: A report for SemEval 2014 – Task 7 Analysis of Clinical Text
  222. S14-2143 [bib]: Suwisa Kaewphan; Kai Hakala; Filip Ginter
    UTU: Disease Mention Recognition and Normalization with CRFs and Vector Space Representations
  223. S14-2144 [bib]: Woodley Packard
    UW-MRS: Leveraging a Deep Grammar for Robotic Spatial Commands
  224. S14-2145 [bib]: Tomáš Brychcín; Michal Konkol; Josef Steinberger
    UWB: Machine Learning Approach to Aspect-Based Sentiment Analysis
  225. S14-2146 [bib]: Rohit Kate
    UWM: Applying an Existing Trainable Semantic Parser to Parse Robotic Spatial Commands
  226. S14-2147 [bib]: Omid Ghiasvand; Rohit Kate
    UWM: Disorder Mention Extraction from Clinical Text Using CRFs and Normalization Using Learned Edit Distance Patterns
  227. S14-2148 [bib]: Aitor García Pablos; Montse Cuadros; German Rigau
    V3: Unsupervised Generation of Domain Aspect Terms for Aspect Based Sentiment Analysis
  228. S14-2149 [bib]: Caroline Brun; Diana Nicoleta Popa; Claude Roux
    XRCE: Hybrid Classification for Aspect-based Sentiment Analysis
  229. Proceedings of the 5th Workshop on Cognitive Aspects of Computational Language Learning (CogACLL)

  230. W14-05 [bib]: Entire Volume
  231. W14-0500 [bib]: Front Matter

  232. W14-0501 [bib]: Philippe Blache
    Challenging incrementality in human language processing: two operations for a cognitive architecture
  233. W14-0502 [bib]: Vera Vasilévski; Márcio José Araujo; Helena Ferro Blasi
    A Brazilian Portuguese Phonological-prosodic Algorithm Applied to Language Acquisition: A Case Study
  234. W14-0503 [bib]: Lawrence Phillips; Lisa Pearl
    Bayesian inference as a cross-linguistic word segmentation strategy: Always learning useful things
  235. W14-0504 [bib]: Stella Frank
    Learning the hyperparameters to learn morphology
  236. W14-0505 [bib]: Çağrı Çöltekin; John Nerbonne
    An explicit statistical model of learning lexical segmentation using multiple cues
  237. W14-0506 [bib]: Alexander Clark
    Distributional Learning as a Theory of Language Acquisition
  238. W14-0507 [bib]: Judith Gaspers; Maximilian Panzner; Andre Lemme; Philipp Cimiano; Katharina J. Rohlfing; Sebastian Wrede
    A multimodal corpus for the evaluation of computational models for (grounded) language acquisition
  239. W14-0508 [bib]: Christian Bentz; Paula Buttery
    Towards a computational model of grammaticalization and lexical diversity
  240. W14-0509 [bib]: Gemma Bel Enguix; Reinhard Rapp; Michael Zock
    How well can a corpus-derived co-occurrence network simulate human associative behavior?
  241. W14-0510 [bib]: Torvald Lekvam; Björn Gambäck; Lars Bungum
    Agent-based modeling of language evolution
  242. W14-0511 [bib]: Daniel Wiechmann; Elma Kerz
    Missing Generalizations: A Supervised Machine Learning Approach to L2 Written Production
  243. Proceedings of the 10th Workshop on Multiword Expressions (MWE)

  244. W14-08 [bib]: Entire Volume
  245. W14-0800 [bib]: Front Matter

  246. W14-0801 [bib]: Aaron Smith
    Breaking Bad: Extraction of Verb-Particle Constructions from a Parallel Subtitles Corpus
  247. W14-0802 [bib]: Meghdad Farahmand; Ronaldo Martins
    A Supervised Model for Extraction of Multiword Expressions, Based on Statistical Context Features
  248. W14-0803 [bib]: István Nagy T.; Veronika Vincze
    VPCTagger: Detecting Verb-Particle Constructions With Syntax-Based Methods
  249. W14-0804 [bib]: Eric Wehrli
    The Relevance of Collocations for Parsing
  250. W14-0805 [bib]: Niki Samaridi; Stella Markantonatou
    Parsing Modern Greek verb MWEs with LFG/XLE grammars
  251. W14-0806 [bib]: Giancarlo Salton; Robert Ross; John Kelleher
    Evaluation of a Substitution Method for Idiom Transformation in Statistical Machine Translation
  252. W14-0807 [bib]: Aggeliki Fotopoulou; Stella Markantonatou; Voula Giouli
    Encoding MWEs in a conceptual lexicon
  253. W14-0808 [bib]: Carla Parra Escartín; Stephan Peitz; Hermann Ney
    German Compounds and Statistical Machine Translation. Can they get along?
  254. W14-0809 [bib]: Sara Castagnoli
    Extracting MWEs from Italian corpora: A case study for refining the POS-pattern methodology
  255. W14-0810 [bib]: Prathyusha Senthil Kumar; Vamsi Salaka; Tracy Holloway King; Brian Johnson
    Mickey Mouse is not a Phrase: Improving Relevance in E-Commerce with Multiword Expressions
  256. W14-0811 [bib]: Karin Friberg Heppin; Miriam R L Petruck
    Encoding of Compounds in Swedish FrameNet
  257. W14-0812 [bib]: Marie Dubremetz; Joakim Nivre
    Extraction of Nominal Multiword Expressions in French
  258. W14-0813 [bib]: Luigi Squillante
    Towards an Empirical Subcategorization of Multiword Expressions
  259. W14-0814 [bib]: Kathrin Steyer; Annelen Brunner
    Contexts, Patterns, Interrelations - New Ways of Presenting Multi-word Expressions
  260. W14-0815 [bib]: Martin Emms; Arun Jayapal
    Detecting change and emergence for multiword expressions
  261. W14-0816 [bib]: Claire Bonial; Meredith Green; Jenette Preciado; Martha Palmer
    An Approach to Take Multi-Word Expressions
  262. W14-0817 [bib]: Edvin Ullman; Joakim Nivre
    Paraphrasing Swedish Compound Nouns in Machine Translation
  263. W14-0818 [bib]: Stephen Roller; Sabine Schulte im Walde
    Feature Norms of German Noun Compounds
  264. W14-0819 [bib]: Lis Pereira; Elga Strafella; Kevin Duh; Yuji Matsumoto
    Identifying collocations using cross-lingual association measures
  265. W14-0820 [bib]: Rania Al-Sabbagh; Roxana Girju; Jana diesner
    Unsupervised Construction of a Lexicon and a Repository of Variation Patterns for Arabic Modal Multiword Expressions
  266. W14-0821 [bib]: Nina Schottmüller; Joakim Nivre
    Issues in Translating Verb-Particle Constructions from German to English


  1. Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity

  2. S13-1 [bib]: Entire Volume
  3. S13-1000 [bib]: Front Matter

  4. S13-1001 [bib]: Edward Grefenstette
    Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors
  5. S13-1002 [bib]: Islam Beltagy; Cuong Chau; Gemma Boleda; Dan Garrette; Katrin Erk; Raymond Mooney
    Montague Meets Markov: Deep Semantics with Probabilistic Logical Form
  6. S13-1003 [bib]: Hui Shen; Razvan Bunescu; Rada Mihalcea
    Coarse to Fine Grained Sense Disambiguation in Wikipedia
  7. S13-1004 [bib]: Eneko Agirre; Daniel Cer; Mona Diab; Aitor Gonzalez-Agirre; Weiwei Guo
    *SEM 2013 shared task: Semantic Textual Similarity
  8. S13-1005 [bib]: Lushan Han; Abhay L. Kashyap; Tim Finin; James Mayfield; Jonathan Weese
    UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems
  9. S13-1006 [bib]: Aliaksei Severyn; Massimo Nicosia; Alessandro Moschitti
    iKernels-Core: Tree Kernel Learning for Textual Similarity
  10. S13-1007 [bib]: Danilo Croce; Valerio Storch; Roberto Basili
    UNITOR-CORE_TYPED: Combining Text Similarity and Semantic Filters through SV Regression
  11. S13-1008 [bib]: Erwin Marsi; Hans Moen; Lars Bungum; Gleb Sizov; Björn Gambäck; André Lynum
    NTNU-CORE: Combining strong features for semantic similarity
  12. S13-1009 [bib]: Sai Wang; Ru Li; Ruibo Wang; Zhiqiang Wang; Xia Zhang
    SXUCFN-Core: STS Models Integrating FrameNet Parsing Information
  13. S13-1010 [bib]: Judita Preiss; Mark Stevenson
    Distinguishing Common and Proper Nouns
  14. S13-1011 [bib]: Tamara Polajnar; Laura Rimell; Douwe Kiela
    UCAM-CORE: Incorporating structured distributional similarity into STS
  15. S13-1012 [bib]: Jian Xu; Qin Lu
    PolyUCOMP-CORE_TYPED: Computing Semantic Textual Similarity using Overlapped Senses
  16. S13-1013 [bib]: Michael Heilman; Nitin Madnani
    HENRY-CORE: Domain Adaptation and Stacking for Text Similarity
  17. S13-1014 [bib]: Nikolaos Malandrakis; Elias Iosif; Vassiliki Prokopi; Alexandros Potamianos; Shrikanth Narayanan
    DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation
  18. S13-1015 [bib]: Alexander Chávez; Héctor Dávila; Yoan Gutiérrez; Armando Collazo; José I. Abreu; Antonio Fernández Orquín; Andrés Montoyo; Rafael Muñoz
    UMCC_DLSI: Textual Similarity based on Lexical-Semantic features
  19. S13-1016 [bib]: Lubomir Otrusina; Pavel Smrz
    BUT-TYPED: Using domain knowledge for computing typed similarity
  20. S13-1017 [bib]: Zhu Tiantian; Man Lan
    ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements
  21. S13-1018 [bib]: Eneko Agirre; Nikolaos Aletras; Aitor Gonzalez-Agirre; German Rigau; Mark Stevenson
    UBC_UOS-TYPED: Regression for typed-similarity
  22. S13-1019 [bib]: Hermann Ziak; Roman Kern
    KnCe2013-CORE:Semantic Text Similarity by use of Knowledge Bases
  23. S13-1020 [bib]: Alberto Barrón-Cedeño; Lluís Màrquez; Maria Fuentes; Horacio Rodriguez; Jordi Turmo
    UPC-CORE: What Can Machine Translation Evaluation Metrics and Wikipedia Do for Estimating Semantic Textual Similarity?
  24. S13-1021 [bib]: Stephen Wu; Dongqing Zhu; Ben Carterette; Hongfang Liu
    MayoClinicNLP–CORE: Semantic representations for textual similarity
  25. S13-1022 [bib]: Eric Yeh
    SRIUBC-Core: Multiword Soft Similarity Models for Textual Similarity
  26. S13-1023 [bib]: Davide Buscaldi; Joseph Le Roux; Jorge J. Garcia Flores; Adrian Popescu
    LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features
  27. S13-1024 [bib]: Annalina Caputo; Pierpaolo Basile; Giovanni Semeraro
    UNIBA-CORE: Combining Strategies for Semantic Textual Similarity
  28. S13-1025 [bib]: Md. Sultan; Steven Bethard; Tamara Sumner
    DLS$@$CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity
  29. S13-1026 [bib]: Paul Greiner; Thomas Proisl; Stefan Evert; Besim Kabashi
    KLUE-CORE: A regression model of semantic textual similarity
  30. S13-1027 [bib]: Sara Noeman
    IBM_EG-CORE: Comparing multiple Lexical and NE matching features in measuring Semantic Textual similarity
  31. S13-1028 [bib]: Sergio Jimenez; Claudia Becerra; Alexander Gelbukh
    SOFTCARDINALITY-CORE: Improving Text Overlap with Distributional Measures for Semantic Textual Similarity
  32. S13-1029 [bib]: Ehsan Shareghi; Sabine Bergler
    CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity
  33. S13-1030 [bib]: Spandana Gella; Bahar Salehi; Marco Lui; Karl Grieser; Paul Cook; Timothy Baldwin
    UniMelb_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity
  34. S13-1031 [bib]: Avishek Dan; Pushpak Bhattacharyya
    CFILT-CORE: Semantic Textual Similarity using Universal Networking Language
  35. S13-1032 [bib]: Carmen Banea; Yoonjung Choi; Lingjia Deng; Samer Hassan; Michael Mohler; Bishan Yang; Claire Cardie; Rada Mihalcea; Jan Wiebe
    CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge
  36. S13-1033 [bib]: Fernando Sánchez-Vega; Manuel Montes-y-Gómez; Paolo Rosso; Luis Villaseñor-Pineda
    INAOE_UPV-CORE: Extracting Word Associations from Document Corpora to estimate Semantic Textual Similarity
  37. S13-1034 [bib]: Ergun Bicici; Josef Van Genabith
    CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity
  38. S13-1035 [bib]: Yoav Goldberg; Jon Orwant
    A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books
  39. S13-1036 [bib]: Spandana Gella; Paul Cook; Bo Han
    Unsupervised Word Usage Similarity in Social Media Texts
  40. S13-1037 [bib]: David Forsyth
    More Words and Bigger Pictures
  41. S13-1038 [bib]: Sabine Schulte im Walde; Stefan Müller; Stefan Roller
    Exploring Vector Space Models to Predict the Compositionality of German Noun-Noun Compounds
  42. S13-1039 [bib]: Bahar Salehi; Paul Cook
    Predicting the Compositionality of Multiword Expressions Using Translations in Multiple Languages
  43. S13-1040 [bib]: Ekaterina Shutova
    Metaphor Identification as Interpretation
  44. S13-1041 [bib]: Andrea Horbach; Alexis Palmer; Manfred Pinkal
    Using the text to evaluate short answers for reading comprehension exercises
  45. S13-1042 [bib]: Hansen Andrew Schwartz; Johannes Eichstaedt; Eduardo Blanco; Lukasz Dziurzyński; Margaret L. Kern; Stephanie Ramones; Martin Seligman; Lyle Ungar
    Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach
  46. S13-1043 [bib]: Michael Roth; Anette Frank
    Automatically Identifying Implicit Arguments to Improve Argument Linking and Coherence Modeling
  47. S13-1044 [bib]: Mikhail Kozhevnikov; Ivan Titov
    Bootstrapping Semantic Role Labelers from Parallel Data
  48. S13-1045 [bib]: Qingqing Cai; Alexander Yates
    Semantic Parsing Freebase: Towards Open-domain Semantic Parsing
  49. Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)

  50. S13-2 [bib]: Entire Volume
  51. S13-2000 [bib]: Front Matter

  52. S13-2001 [bib]: Naushad UzZaman; Hector Llorens; Leon Derczynski; James Allen; Marc Verhagen; James Pustejovsky
    SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations
  53. S13-2002 [bib]: Steven Bethard
    ClearTK-TimeML: A minimalist approach to TempEval 2013
  54. S13-2003 [bib]: Jannik Strötgen; Julian Zell; Michael Gertz
    HeidelTime: Tuning English and Developing Spanish Resources for TempEval-3
  55. S13-2004 [bib]: Hyuckchul Jung; Amanda Stent
    ATT1: Temporal Annotation Using Big Windows and Rich Syntactic and Semantic Features
  56. S13-2005 [bib]: Matteo Negri; Alessandro Marchetti; Yashar Mehdad; Luisa Bentivogli; Danilo Giampiccolo
    Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization
  57. S13-2006 [bib]: Sergio Jimenez; Claudia Becerra; Alexander Gelbukh
    SOFTCARDINALITY: Learning to Identify Directional Cross-Lingual Entailment from Cardinalities and SMT
  58. S13-2007 [bib]: Ioannis Korkontzelos; Torsten Zesch; Fabio Massimo Zanzotto; Chris Biemann
    SemEval-2013 Task 5: Evaluating Phrasal Semantics
  59. S13-2008 [bib]: Christian Wartena
    HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures
  60. S13-2009 [bib]: Michele Filannino; Gavin Brown; Goran Nenadic
    ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge
  61. S13-2010 [bib]: Vanni Zavarella; Hristo Tanev
    FSS-TimEx for TempEval-3: Extracting Temporal Information from Text
  62. S13-2011 [bib]: Anup Kumar Kolya; Amitava Kundu; Rajdeep Gupta; Asif Ekbal; Sivaji Bandyopadhyay
    JU_CSE: A CRF Based Approach to Annotation of Temporal Expression, Event and Temporal Relations
  63. S13-2012 [bib]: Nate Chambers
    NavyTime: Event and Time Ordering from Raw Text
  64. S13-2013 [bib]: Angel Chang; Christopher D. Manning
    SUTime: Evaluation in TempEval-3
  65. S13-2014 [bib]: Oleksandr Kolomiyets; Marie-Francine Moens
    KUL: Data-driven Approach to Temporal Parsing of Newswire Articles
  66. S13-2015 [bib]: Natsuda Laokulrat; Makoto Miwa; Yoshimasa Tsuruoka; Takashi Chikayama
    UTTime: Temporal Relation Classification using Deep Syntactic Features
  67. S13-2016 [bib]: Héctor Dávila; Antonio Fernández Orquín; Alexander Chávez; Yoan Gutiérrez; Armando Collazo; José I. Abreu; Andrés Montoyo; Rafael Muñoz
    UMCC_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance
  68. S13-2017 [bib]: Tim Van de Cruys; Stergos Afantenos; Philippe Muller
    MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting
  69. S13-2018 [bib]: Lorna Byrne; Caroline Fenlon; John Dunnion
    IIRG: A Naive Approach to Evaluating Phrasal Semantics
  70. S13-2019 [bib]: Reda Siblini; Leila Kosseim
    ClaC: Semantic Relatedness of Words and Phrases
  71. S13-2020 [bib]: Sergio Jimenez; Claudia Becerra; Alexander Gelbukh
    UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags
  72. S13-2021 [bib]: Jiang Zhao; Man Lan; Zheng-Yu Niu
    ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures
  73. S13-2022 [bib]: Darnes Vilariño; David Pinto; Saul León; Yuridiana Aleman; Helena Gómez
    BUAP: N-gram based Feature Evaluation for the Cross-Lingual Textual Entailment Task
  74. S13-2023 [bib]: Marco Turchi; Matteo Negri
    ALTN: Word Alignment Features for Cross-lingual Textual Entailment
  75. S13-2024 [bib]: Yvette Graham; Bahar Salehi; Timothy Baldwin
    Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features
  76. S13-2025 [bib]: Iris Hendrickx; Zornitsa Kozareva; Preslav Nakov; Diarmuid Ó Séaghdha; Stan Szpakowicz; Tony Veale
    SemEval-2013 Task 4: Free Paraphrases of Noun Compounds
  77. S13-2026 [bib]: Tim Van de Cruys; Stergos Afantenos; Philippe Muller
    MELODI: A Supervised Distributional Approach for Free Paraphrasing of Noun Compounds
  78. S13-2027 [bib]: Yannick Versley
    SFS-TUE: Compound Paraphrasing with a Language Model and Discriminative Reranking
  79. S13-2028 [bib]: Nitesh Surtani; Arpita Batra; Urmi Ghosh; Soma Paul
    IIIT-H: A Corpus-Driven Co-occurrence Based Probabilistic Model for Noun Compound Paraphrasing
  80. S13-2029 [bib]: Els Lefever; Véronique Hoste
    SemEval-2013 Task 10: Cross-lingual Word Sense Disambiguation
  81. S13-2030 [bib]: Liling Tan; Francis Bond
    XLING: Matching Query Sentences to a Parallel Corpus using Topic Models for WSD
  82. S13-2031 [bib]: Alex Rudnick; Can Liu; Michael Gasser
    HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10
  83. S13-2032 [bib]: Marianna Apidianaki
    LIMSI : Cross-lingual Word Sense Disambiguation using Translation Sense Clustering
  84. S13-2033 [bib]: Maarten van Gompel; Antal van den Bosch
    WSD2: Parameter optimisation for Memory-based Cross-Lingual Word-Sense Disambiguation
  85. S13-2034 [bib]: Marine Carpuat
    NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)
  86. S13-2035 [bib]: Roberto Navigli; Daniele Vannella
    SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application
  87. S13-2036 [bib]: Ted Pedersen
    Duluth : Word Sense Induction Applied to Web Page Clustering
  88. S13-2037 [bib]: Satyabrata Behera; Upasana Gaikwad; Ramakrishna Bairi; Ganesh Ramakrishnan
    SATTY : Word Sense Induction Application in Web Search Clustering
  89. S13-2038 [bib]: Hans-Peter Zorn; Iryna Gurevych
    UKP-WSI: UKP Lab Semeval-2013 Task 11 System Description
  90. S13-2039 [bib]: Jey Han Lau; Paul Cook; Timothy Baldwin
    unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering
  91. S13-2040 [bib]: Roberto Navigli; David Jurgens; Daniele Vannella
    SemEval-2013 Task 12: Multilingual Word Sense Disambiguation
  92. S13-2041 [bib]: Didier Schwab; Andon Tchechmedjiev; Jérôme Goulian; Mohammad Nasiruddin; Gilles Sérasset; Hervé Blanchon
    GETALP System : Propagation of a Lesk Measure through an Ant Colony Algorithm
  93. S13-2042 [bib]: Yoan Gutiérrez; Yenier Castañeda; Andy González; Rainel Estrada; Dennys D. Piug; Jose I. Abreu; Roger Pérez; Antonio Fernández Orquín; Andrés Montoyo; Rafael Muñoz; Franc Camara
    UMCC_DLSI: Reinforcing a Ranking Algorithm with Sense Frequencies and Multidimensional Semantic Resources to solve Multilingual Word Sense Disambiguation
  94. S13-2043 [bib]: Steve L. Manion; Raazesh Sainudiin
    DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation
  95. S13-2044 [bib]: Oleksandr Kolomiyets; Parisa Kordjamshidi; Marie-Francine Moens; Steven Bethard
    SemEval-2013 Task 3: Spatial Role Labeling
  96. S13-2045 [bib]: Myroslava Dzikovska; Rodney Nielsen; Chris Brew; Claudia Leacock; Danilo Giampiccolo; Luisa Bentivogli; Peter Clark; Ido Dagan; Hoa Trang Dang
    SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge
  97. S13-2046 [bib]: Michael Heilman; Nitin Madnani
    ETS: Domain Adaptation and Stacking for Short Answer Scoring
  98. S13-2047 [bib]: Sergio Jimenez; Claudia Becerra; Alexander Gelbukh
    SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis
  99. S13-2048 [bib]: Omer Levy; Torsten Zesch; Ido Dagan; Iryna Gurevych
    UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis
  100. S13-2049 [bib]: David Jurgens; Ioannis Klapaftis
    SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses
  101. S13-2050 [bib]: Osman Baskaya; Enis Sert; Volkan Cirik; Deniz Yuret
    AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation
  102. S13-2051 [bib]: Jey Han Lau; Paul Cook; Timothy Baldwin
    unimelb: Topic Modelling-based Word Sense Induction
  103. S13-2052 [bib]: Preslav Nakov; Sara Rosenthal; Zornitsa Kozareva; Veselin Stoyanov; Alan Ritter; Theresa Wilson
    SemEval-2013 Task 2: Sentiment Analysis in Twitter
  104. S13-2053 [bib]: Saif Mohammad; Svetlana Kiritchenko; Xiaodan Zhu
    NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
  105. S13-2054 [bib]: Tobias Günther; Lenz Furrer
    GU-MLT-LT: Sentiment Analysis of Short Messages using Linguistic Features and Stochastic Gradient Descent
  106. S13-2055 [bib]: Lee Becker; George Erhart; David Skiba; Valentine Matula
    AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion
  107. S13-2056 [bib]: Isabel Segura-Bedmar; Paloma Martínez; María Herrero Zazo
    SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)
  108. S13-2057 [bib]: Md. Faisal Mahbub Chowdhury; Alberto Lavelli
    FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information
  109. S13-2058 [bib]: Tim Rocktäschel; Torsten Huber; Michael Weidlich; Ulf Leser
    WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs
  110. S13-2059 [bib]: Mohamed Dermouche; Leila Khouas; Julien Velcin; Sabine Loudcher
    AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis
  111. S13-2060 [bib]: Giuseppe Castellucci; Simone Filice; Danilo Croce; Roberto Basili
    UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis
  112. S13-2061 [bib]: Tawunrat Chalothorn; Jeremy Ellman
    TJP: Using Twitter to Analyze the Polarity of Contexts
  113. S13-2062 [bib]: Hamid Poursepanj; Josh Weissbock; Diana Inkpen
    uOttawa: System description for SemEval 2013 Task 2 Sentiment Analysis in Twitter
  114. S13-2063 [bib]: Zhemin Zhu; Djoerd Hiemstra; Peter Apers; Andreas Wombacher
    UT-DB: An Experimental Study on Sentiment Analysis in Twitter
  115. S13-2064 [bib]: Ganesh Harihara; Eugene Yang; Nate Chambers
    USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis
  116. S13-2065 [bib]: Thomas Proisl; Paul Greiner; Stefan Evert; Besim Kabashi
    KLUE: Simple and robust methods for polarity classification
  117. S13-2066 [bib]: Eugenio Martínez-Cámara; Arturo Montejo-Ráez; M. Teresa Martín-Valdivia; L. Alfonso Ureña-López
    SINAI: Machine Learning and Emotion of the Crowd for Sentiment Analysis in Microblogs
  118. S13-2067 [bib]: Zhu Tiantian; Zhang Fangxi; Man Lan
    ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2)
  119. S13-2068 [bib]: Clement Levallois
    Umigon: sentiment analysis for tweets based on terms lists and heuristics
  120. S13-2069 [bib]: Morgane Marchand; Alexandru Ginsca; Romaric Besançon; Olivier Mesnard
    [LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter
  121. S13-2070 [bib]: Sam Clark; Rich Wicentwoski
    SwatCS: Combining simple classifiers with estimated accuracy
  122. S13-2071 [bib]: Øyvind Selmer; Mikael Brevik; Björn Gambäck; Lars Bungum
    NTNU: Domain Semi-Independent Short Message Sentiment Classification
  123. S13-2072 [bib]: Nikolaos Malandrakis; Abe Kazemzadeh; Alexandros Potamianos; Shrikanth Narayanan
    SAIL: A hybrid approach to sentiment analysis
  124. S13-2073 [bib]: Yoan Gutiérrez; Andy González; Roger Pérez; José I. Abreu; Antonio Fernández Orquín; Alejandro Mosquera; Andrés Montoyo; Rafael Muñoz; Franc Camara
    UMCC_DLSI-(SA): Using a ranking algorithm and informal features to solve Sentiment Analysis in Twitter
  125. S13-2074 [bib]: Robert Remus
    ASVUniOfLeipzig: Sentiment Analysis in Twitter using Data-driven Machine Learning Techniques
  126. S13-2075 [bib]: Hussam Hamdan; Frederic Béchet; Patrice Bellot
    Experiments with DBpedia, WordNet and SentiWordNet as resources for sentiment analysis in micro-blogging
  127. S13-2076 [bib]: Alexandra Balahur
    OPTWIMA: Comparing Knowledge-rich and Knowledge-poor Approaches for Sentiment Analysis in Short Informal Texts
  128. S13-2077 [bib]: Md. Faisal Mahbub Chowdhury; Marco Guerini; Sara Tonelli; Alberto Lavelli
    FBK: Sentiment Analysis in Twitter with Tweetsted
  129. S13-2078 [bib]: Gizem Gezici; Rahim Dehkharghani; Berrin Yanikoglu; Dilek Tapucu; Yucel Saygin
    SU-Sentilab : A Classification System for Sentiment Analysis in Twitter
  130. S13-2079 [bib]: Sara Rosenthal; Kathy McKeown
    Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media
  131. S13-2080 [bib]: Carlos Rodriguez-Penagos; Jordi Atserias Batalla; Joan Codina-Filbà; David García-Narbona; Jens Grivolla; Patrik Lambert; Roser Saurí
    FBM: Combining lexicon-based ML and heuristics for Social Media Polarities
  132. S13-2081 [bib]: Silvio Moreira; João Filgueiras; Bruno Martins; Francisco Couto; Mário J. Silva
    REACTION: A naive machine learning approach for sentiment classification
  133. S13-2082 [bib]: Karan Chawla; Ankit Ramteke; Pushpak Bhattacharyya
    IITB-Sentiment-Analysts: Participation in Sentiment Analysis in Twitter SemEval 2013 Task
  134. S13-2083 [bib]: Reynier Ortega Bueno; Adrian Fonseca Bruzón; Yoan Gutiérrez; Andres Montoyo
    SSA-UO: Unsupervised Sentiment Analysis in Twitter
  135. S13-2084 [bib]: José Saias; Hilário Fernandes
    senti.ue-en: an approach for informally written short texts in SemEval-2013 Sentiment Analysis task
  136. S13-2085 [bib]: Hilke Reckman; Cheyanne Baird; Jean Crawford; Richard Crowell; Linnea Micciulla; Saratendu Sethi; Fruzsina Veress
    teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis
  137. S13-2086 [bib]: Qi Han; Junfei Guo; Hinrich Schuetze
    CodeX: Combining an SVM Classifier and Character N-gram Language Models for Sentiment Analysis on Twitter Text
  138. S13-2087 [bib]: Harshit Jain; Aditya Mogadala; Vasudeva Varma
    sielers : Feature Analysis and Polarity Classification of Expressions from Twitter and SMS Data
  139. S13-2088 [bib]: Ameeta Agrawal; Aijun An
    Kea: Expression-level Sentiment Analysis from Twitter Data
  140. S13-2089 [bib]: Sapna Negi; Michael Rosner
    UoM: Using Explicit Semantic Analysis for Classifying Sentiments
  141. S13-2090 [bib]: Wesley Baugh
    bwbaugh : Hierarchical sentiment analysis with partial self-training
  142. S13-2091 [bib]: Prabu palanisamy; Vineet Yadav; Harsha Elchuri
    Serendio: Simple and Practical lexicon based approach to Sentiment Analysis
  143. S13-2092 [bib]: Viktor Hangya; Gabor Berend; Richárd Farkas
    SZTE-NLP: Sentiment Detection on Twitter Messages
  144. S13-2093 [bib]: Nadin Kökciyan; Arda Çelebi; Arzucan Özgür; Suzan Üsküdarlı
    BOUNCE: Sentiment Classification in Twitter using Rich Feature Sets
  145. S13-2094 [bib]: Prodromos Malakasiotis; Rafael Michael Karampatsis; Konstantina Makrynioti; John Pavlopoulos Two Stage Sentiment Analysis
  146. S13-2095 [bib]: Pedro Balage Filho; Thiago Pardo
    NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages
  147. S13-2096 [bib]: Emanuele Bastianelli; Danilo Croce; Roberto Basili; Daniele Nardi
    UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling
  148. S13-2097 [bib]: Itziar Aldabe; Montse Maritxalar; Oier Lopez de Lacalle
    EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis
  149. S13-2098 [bib]: Ergun Bicici; Josef van Genabith
    CNGL: Grading Student Answers by Acts of Translation
  150. S13-2099 [bib]: Milen Kouylekov; Luca Dini; Alessio Bosca; Marco Trevisan
    Celi: EDITS and Generic Text Pair Classification
  151. S13-2100 [bib]: Martin Gleize; Brigitte Grau
    LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013
  152. S13-2101 [bib]: IFEYINWA OKOYE; Steven Bethard; Tamara Sumner
    CU : Computational Assessment of Short Free Text Answers - A Tool for Evaluating Students' Understanding
  153. S13-2102 [bib]: Niels Ott; Ramon Ziai; Michael Hahn; Detmar Meurers
    CoMeT: Integrating different levels of linguistic modeling for meaning assessment
  154. S13-2103 [bib]: Daniel Sanchez-Cisneros
    UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts.
  155. S13-2104 [bib]: Daniel Sanchez-Cisneros; Fernando Aparicio Gali
    UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts.
  156. S13-2105 [bib]: Philippe Thomas; Mariana Neves; Tim Rocktäschel; Ulf Leser
    WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting
  157. S13-2106 [bib]: Armando Collazo; Alberto Ceballo; Dennys D. Puig; Yoan Gutiérrez; José I. Abreu; Roger Pérez; Antonio Fernández Orquín; Andrés Montoyo; Rafael Muñoz; Franc Camara
    UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts
  158. S13-2107 [bib]: Behrouz Bokharaeian; ALBERTO DIAZ
    NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels
  159. S13-2108 [bib]: Jari Björne; Suwisa Kaewphan; Tapio Salakoski
    UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge
  160. S13-2109 [bib]: Tiago Grego; Francisco Pinto; Francisco M Couto
    LASIGE: using Conditional Random Fields and ChEBI ontology
  161. S13-2110 [bib]: Majid Rastegar-Mojarad; Richard D. Boyce; Rashmi Prasad
    UWM-TRIADS: Classifying Drug-Drug Interactions with Two-Stage SVM and Post-Processing
  162. S13-2111 [bib]: Tamara Bobic; Juliane Fluck; Martin Hofmann-Apitius
    SCAI: Extracting drug-drug interactions using a rich feature vector
  163. S13-2112 [bib]: Negacy Hailu; Lawrence E. Hunter; K. Bretonnel Cohen
    UColorado_SOM: Extraction of Drug-Drug Interactions from Biomedical Text using Knowledge-rich and Knowledge-poor Features
  164. S13-2113 [bib]: David Hope; Bill Keller
    UoS: A Graph-Based System for Graded Word Sense Induction
  165. Proceedings of the Seventh Workshop on Syntax, Semantics and Structure in Statistical Translation

  166. W13-08 [bib]: Entire Volume
  167. W13-0800 [bib]: Front Matter

  168. W13-0801 [bib]: Marine Carpuat
    A Semantic Evaluation of Machine Translation Lexical Choice
  169. W13-0802 [bib]: Thoudam Doren Singh
    Taste of Two Different Flavours: Which Manipuri Script works better for English-Manipuri Language pair SMT Systems?
  170. W13-0803 [bib]: Gideon Maillette de Buy Wenniger; Khalil Sima'an
    Hierarchical Alignment Decomposition Labels for Hiero Grammar Rules
  171. W13-0804 [bib]: Matthias Huck; David Vilar; Markus Freitag; Hermann Ney
    A Performance Study of Cube Pruning for Large-Scale Hierarchical Machine Translation
  172. W13-0805 [bib]: Teresa Herrmann; Jan Niehues; Alex Waibel
    Combining Word Reordering Methods on different Linguistic Abstraction Levels for Statistical Machine Translation
  173. W13-0806 [bib]: Markus Saers; Karteek Addanki; Dekai Wu
    Combining Top-down and Bottom-up Search for Unsupervised Induction of Transduction Grammars
  174. W13-0807 [bib]: Gideon Maillette de Buy Wenniger; Khalil Sima'an
    A Formal Characterization of Parsing Word Alignments by Synchronous Grammars with Empirical Evidence to the ITG Hypothesis.
  175. W13-0808 [bib]: Miriam Kaeshammer
    Synchronous Linear Context-Free Rewriting Systems for Machine Translation
  176. Proceedings of the 9th Workshop on Multiword Expressions

  177. W13-10 [bib]: Entire Volume
  178. W13-1000 [bib]: Front Matter

  179. W13-1001 [bib]: Antonio Moreno-Ortiz; Chantal Perez-Hernandez; Maria Del-Olmo
    Managing Multiword Expressions in a Lexicon-Based Sentiment Analysis System for Spanish
  180. W13-1002 [bib]: Pollet Samvelian; Pegah Faghiri
    Introducing PersPred, a Syntactic and Semantic Database for Persian Complex Predicates
  181. W13-1003 [bib]: Lars Bungum; Björn Gambäck; André Lynum; Erwin Marsi
    Improving Word Translation Disambiguation by Capturing Multiword Expressions with Dictionaries
  182. W13-1004 [bib]: Martha Palmer
    Complex Predicates are Multi-Word Expressions
  183. W13-1005 [bib]: Stephen Roller; Sabine Schulte im Walde; Silke Scheible
    The (Un)expected Effects of Applying Standard Cleansing Models to Human Ratings on Compositionality
  184. W13-1006 [bib]: Lubomír Krčmář; Karel Ježek; Pavel Pecina
    Determining Compositionality of Word Expressions Using Word Space Models
  185. W13-1007 [bib]: Malvina Nissim
    Modelling the Internal Variability of MWEs
  186. W13-1008 [bib]: Paul Cook; Graeme Hirst
    Automatically Assessing Whether a Text Is Cliched, with Applications to Literary Analysis
  187. W13-1009 [bib]: Zdenka Uresova; Jan Hajic; Eva Fucikova; Jana Sindlerova
    An Analysis of Annotation of Verb-Noun Idiomatic Combinations in a Parallel Dependency Corpus
  188. W13-1010 [bib]: Vivekananda Gayen; Kamal Sarkar
    Automatic Identification of Bengali Noun-Noun Compounds Using Random Forest
  189. W13-1011 [bib]: Mikhail Kopotev; Lidia Pivovarova; Natalia Kochetkova; Roman Yangarber
    Automatic Detection of Stable Grammatical Features in N-Grams
  190. W13-1012 [bib]: Bell Manrique-Losada; Carlos M. Zapata-Jaramillo; Diego A. Burgos
    Exploring MWEs for Knowledge Acquisition from Corporate Technical Documents
  191. W13-1013 [bib]: Sandra Antunes; Amália Mendes
    MWE in Portuguese: Proposal for a Typology for Annotation in Running Text
  192. W13-1014 [bib]: Magali Sanches Duran; Carolina Evaristo Scarton; Sandra Maria Aluísio; Carlos Ramisch
    Identifying Pronominal Verbs: Towards Automatic Disambiguation of the Clitic 'se' in Portuguese
  193. W13-1015 [bib]: Malvina Nissim; Andrea Zaninello
    A Repository of Variation Patterns for Multiword Expressions
  194. W13-1016 [bib]: Eduard Bejček; Pavel Stranak; Pavel Pecina
    Syntactic Identification of Occurrences of Multiword Expressions in Text using a Lexicon with Dependency Structures
  195. W13-1017 [bib]: Antton Gurrutxaga; Iñaki Alegria
    Combining Different Features of Idiomaticity for the Automatic Classification of Noun+Verb Expressions in Basque
  196. W13-1018 [bib]: Ashwini Vaidya; Martha Palmer; Bhuvana Narasimhan
    Semantic Roles for Nominal Predicates: Building a Lexical Resource
  197. W13-1019 [bib]: Sara Berlanda
    Constructional Intensifying Adjectives in Italian
  198. W13-1020 [bib]: Jill Burstein
    The Far Reach of Multiword Expressions in Educational Technology
  199. W13-1021 [bib]: Yutaro Shigeto; Ai Azuma; Sorami Hisamoto; Shuhei Kondo; Tomoya Kouse; Keisuke Sakaguchi; Akifumi Yoshimoto; Frances Yung; Yuji Matsumoto
    Construction of English MWE Dictionary and its Application to POS Tagging
  200. Proceedings of the Joint Symposium on Semantic Processing. Textual Inference and Structures in Corpora

  201. W13-38: Entire Volume
  202. W13-3800: Front Matter

  203. W13-3801: Eneko Agirre
    Text Understanding using Knowledge-Bases and Random Walks
  204. W13-3802: Johan Bos
    The Groningen Meaning Bank
  205. W13-3803: Philipp Cimiano
    Ontology Lexicalization as a core task in a language-enhanced Semantic Web
  206. W13-3804: Peter Clark
    From Textual Entailment to Knowledgeable Machines
  207. W13-3805: Ido Dagan; Bernardo Magnini
    Entailment graphs for text exploration
  208. W13-3806: Mona Diab
    Semantic Textual Similarity: past present and future
  209. W13-3807: Patrick Hanks
    Corpus-driven Lexical Analysis: Norms and Exploitations in Word Use
  210. W13-3808: Elisabetta Jezek
    Sweetening Ontologies cont'd
  211. W13-3809: Mirella Lapata
    Unsupervised Relation Extraction with General Domain Knowledge
  212. W13-3810: Günter Neumann; Sebastian Padó
    Design and Realization of the EXCITEMENT Open Platform for Textual Entailment
  213. W13-3811: Octavian Popescu
    Regular Patterns - Probably Approximately Correct Language Model
  214. W13-3812: Dan Roth
    Computational Frameworks for Supporting Textual Inference
  215. W13-3813: Sabine Schulte in Walde
    Potential and limits of distributional approaches for semantic relatedness
  216. W13-3814: Paolo Annesi; Danilo Croce; Roberto Basili
    Towards Compositional Tree Kernels
  217. W13-3815: Elena Cabrio; Serena Villata
    Detecting Bipolar Semantic Relations among Natural Language Arguments with Textual Entailment: a Study.
  218. W13-3816: Tommaso Caselli; Carlo Strapparava; Laure Vieu; Guido Vetere
    Aligning Verb Senses in Two Italian Lexical Semantic Resources
  219. W13-3817: Ekaterina Ovchinnikova; Andrew Gordon; Jerry Hobbs
    Abduction for Discourse Interpretation: A Probabilistic Framework
  220. W13-3818: Nai-Lung Tsao; David Wible
    Word similarity using constructions as contextual features
  221. W13-3819: Amal Alshahrani; Allan Ramsay
    Inference for Natural Language
  222. W13-3820 [revisions: v2]: Emanuele Bastianelli; Giuseppe Castellucci; Danilo Croce; Roberto Basili
    Textual Inference and Meaning Representation in Human Robot Interaction
  223. W13-3821: Jane Bradbury; Ismaïl El Maarouf
    An empirical classification of verbs based on Semantic Types: the case of the 'poison' verbs.
  224. W13-3822: Matthew Capetola
    Quantifiers: Experimenting with Higher-Order Meaning in Distributional Semantic Space
  225. W13-3823: Anca Dinu; Alina Ciobanu
    Alternative measures of word relatedness in distributional semantics
  226. W13-3824: Lorenzo Ferrone; Fabio Massimo Zanzotto
    Linear Compositional Distributional Semantics and Structural Kernels
  227. W13-3825: Florentina Hristea
    On a Dependency-based Semantic Space for Unsupervised Noun Sense Disambiguation with an Underlying Naïve Bayes Model
  228. W13-3826: Ismaïl El Maarouf; Vít Baisa
    Automatic classification of semantic patterns from the Pattern Dictionary of English Verbs
  229. W13-3827: Michael Marlen; David Gustafson
    Extending the Semantics in Natural Language Understanding
  230. W13-3828: Márton Miháltz; Bálint Sass
    What Do We Drink? Automatically Extending Hungarian WordNet With Selectional Preference Relations
  231. W13-3829: Vlad Niculae
    Comparison pattern matching and creative simile recognition
  232. W13-3830: Vlad Niculae; Octavian Popescu
    Determining is-a relationships for Textual Entailment
  233. Proceedings of the 6th International Conference on Generative Approaches to the Lexicon (GL2013)

  234. W13-54: Entire Volume
  235. W13-5400: Front Matter

  236. W13-5401: James Pustejovsky
    Dynamic Event Structure and Habitat Theory
  237. W13-5402: Chu-Ren Huang; Kathleen Ahrens; Francesca Quattri
    Metaphor and Qualia: Embodiment or Eventuality
  238. W13-5403: Chan-Chia Hsu; Shu-Kai Hsieh
    To Coerce or Not to Coerce: A Corpus-based Exploration of Some Complement Coercion Verbs in Chinese
  239. W13-5404: Lauren Romeo; Sara Mendes; Núria Bel
    Towards the automatic classification of complex-type nominals
  240. W13-5405: Zuoyan Song; Qingqing Zhao
    Qualia Relations in Metaphorical Noun-Noun Compounds
  241. W13-5406: Tommaso Caselli; Russo Irene
    From Glosses to Qualia: Qualia Extraction from Senso Comune
  242. W13-5407: Claire Bonial; Orin Hargraves; Martha Palmer
    Expanding VerbNet with Sketch Engine
  243. W13-5408: Hongzhi Xu; Chu-Ren Huang
    Primitives of Events and the Semantic Representation
  244. W13-5409: Fahad Khan; Francesca Frontini; Riccardo Del Gratta; Monica Monachini; Valeria Quochi
    Generative Lexicon Theory and Linguistic Linked Open Data
  245. W13-5410: Irene Russo; Francesca Frontini; Irene De Felice; Fahad Khan; Monica Monachini
    Disambiguation of Basic Action Types through Nouns' Telic Qualia
  246. W13-5411: Lauren Romeo; Héctor Martínez Alonso; Núria Bel
    Class-based Word Sense Induction for dot-type nominals
  247. W13-5412: Rachel Chasin; Anna Rumshisky
    Mixing in Some Knowledge: Enriched Context Patterns for Bayesian Word Sense Induction
  248. W13-5413: Olga Batiukova; James Pustejovsky
    Informativeness Constraints and Compositionality
  249. W13-5414: Sumiyo Nishiguchi
    Extended Generative Lexicon
  250. W13-5415: Yu-Yun Chang; Shu-Kai Hsieh
    Features of Verb Complements in Co-composition: A case study of Chinese baking verb using Weibo corpus
  251. W13-5416: August F.Y. Chao; Siaw-Fong Chung
    A Lexico-Semantic Analysis of Chinese Locality Phrases - A Topic Clustering Approach
  252. W13-5417: Author and Keyword Index
  253. Proceedings of the 2nd Workshop on Linked Data in Linguistics (LDL-2013): Representing and linking lexicons, terminologies and other language data

  254. W13-55 [bib]: Entire Volume
  255. W13-5500 [bib]: Front Matter

  256. W13-5501 [bib]: Christian Chiarcos; Philipp Cimiano; Thierry Declerck; John P. McCrae
    Linguistic Linked Open Data (LLOD). Introduction and Overview
  257. W13-5502 [bib]: Paul Buitelaar; Mihael Arcan; Carlos Iglesias; Fernando Sanchez-Rada; Carlo Strapparava
    Linguistic Linked Data for Sentiment Analysis
  258. W13-5503 [bib]: Claire Bonial; Kevin Stowe; Martha Palmer
    Renewing and Revising SemLink
  259. W13-5504 [bib]: Manuel Fiorelli; Maria Teresa Pazienza; Armando Stellato
    LIME: Towards a Metadata Module for Ontolex
  260. W13-5505 [bib]: Steven Moran; Martin Brümmer
    Lemon-aid: using Lemon to aid quantitative historical linguistic analysis
  261. W13-5506 [bib]: Antonio Pareja-Lora; Maria Blume; Barbara Lust
    Transforming the Data Transcription and Analysis Tool Metadata and Labels into a Linguistic Linked Open Data Cloud Resource
  262. W13-5507 [bib]: Peter Menke; John Philip McCrae; Philipp Cimiano
    Releasing multimodal data as Linguistic Linked Open Data: An experience report
  263. W13-5508 [bib]: Richard Littauer; Boris Villazon-Terrazas; Steven Moran
    Linguistic Resources Enhanced with Geospatial Information
  264. W13-5509 [bib]: Timm Heuss
    Faust.rdf - Taking RDF literally
  265. W13-5510 [bib]: Seiji Koide; Hideaki Takeda
    RDFization of Japanese Electronic Dictionaries and LOD
  266. W13-5511 [bib]: Yoshihiko Hayashi
    Migrating Psycholinguistic Semantic Feature Norms into Linked Data in Linguistics
  267. W13-5512 [bib]: Roberto Bartolini; Riccardo Del Gratta; Francesca Frontini
    Towards the establishment of a linguistic linked data network for Italian


  1. Proceedings of the ACL 2012 Joint Workshop on Statistical Parsing and Semantic Processing of Morphologically Rich Languages

  2. W12-34 [bib]: Entire Volume
  3. W12-3400 [bib]: Front Matter

  4. W12-3401 [bib]: Enrique Henestroza Anguiano; Marie Candito
    Probabilistic Lexical Generalization for French Dependency Parsing
  5. W12-3402 [bib]: Yannick Versley
    Supervised Learning of German Qualia Relations
  6. W12-3403 [bib]: Abdelati Hawwari; Kfir Bar; Mona Diab
    Building an Arabic Multiword Expressions Repository
  7. W12-3404 [bib]: Alejandra Lorenzo; Christophe Cerisara
    Unsupervised frame based Semantic Role Induction: application to French and English
  8. W12-3405 [bib]: Yannick Versley; Verena Henrich
    Using Synthetic Compounds for Word Sense Discrimination
  9. W12-3406 [bib]: Szymon Acedański; Adam Slaski; Adam Przepiórkowski
    Machine Learning of Syntactic Attachment from Morphosyntactic and Semantic Co-occurrence Statistics
  10. W12-3407 [bib]: Iakes Goenaga; Koldobika Gojenola; Marìa Jesús Aranzabe; Arantza Dìaz de Ilarraza; Kepa Bengoetxea
    Combining Rule-Based and Statistical Syntactic Analyzers
  11. W12-3408 [bib]: Joseph Le Roux; Benoit Sagot; Djamé Seddah
    Statistical Parsing of Spanish and Data Driven Lemmatization
  12. W12-3409 [bib]: João Silva; António Branco
    Assigning Deep Lexical Types Using Structured Classifier Features for Grammatical Dependencies
  13. W12-3410 [bib]: Nathan Green; Loganathan Ramasamy; Zdeněk Žabokrtský
    Using an SVM Ensemble System for Improved Tamil Dependency Parsing
  14. W12-3411 [bib]: DongHyun Choi; Jungyeul Park; Key-Sun Choi
    Korean Treebank Transformation for Parser Training
  15. W12-3412 [bib]: Joseph Le Roux; Benoit Favre; Alexis Nasr; Seyed Abolghasem Mirroshandel
    Generative Constituent Parsing and Discriminative Dependency Reranking: Experiments on English and French
  16. Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis

  17. W12-37 [bib]: Entire Volume
  18. W12-3700 [bib]: Front Matter

  19. W12-3701 [bib]: Rada Mihalcea
    Multimodal Sentiment Analysis
  20. W12-3702 [bib]: Janyce Wiebe
    Subjectivity Word Sense Disambiguation
  21. W12-3703 [bib]: Arturo Montejo-Ráez; Eugenio Martìnez-Cámara; M. Teresa Martìn-Valdivia; L. Alfonso Ureña-López
    Random Walk Weighting over SentiWordNet for Sentiment Polarity Detection on Twitter
  22. W12-3704 [bib]: Akshat Bakliwal; Piyush Arora; Senthil Madhappan; Nikhil Kapre; Mukesh Singh; Vasudeva Varma
    Mining Sentiments from Tweets
  23. W12-3705 [bib]: Muhammad Abdul-Mageed; Sandra Kuebler; Mona Diab
    SAMAR: A System for Subjectivity and Sentiment Analysis of Arabic Social Media
  24. W12-3706 [bib]: Boyan Bonev; Gema Ramìrez Sánchez; Sergio Ortiz Rojas
    Opinum: statistical sentiment analysis for opinion classification
  25. W12-3707 [bib]: Amitava Das; Gambäck Björn
    Sentimantics: Conceptual Spaces for Lexical Sentiment Polarity Representation with Contextuality
  26. W12-3708 [bib]: Maya Ando; Shun Ishizaki
    Analysis of Travel Review Data from Reader’s Point of View
  27. W12-3709 [bib]: Alexandra Balahur; Marco Turchi
    Multilingual Sentiment Analysis using Machine Translation?
  28. W12-3710 [bib]: Jie Yin; Nalin Narang; Paul Thomas; Cecile Paris
    Unifying Local and Global Agreement and Disagreement Classification in Online Debates
  29. W12-3711 [bib]: Diman Ghazi; Diana Inkpen; Stan Szpakowicz
    Prior versus Contextual Emotion of a Word in a Sentence
  30. W12-3712 [bib]: Phillip Smith; Mark Lee
    Cross-discourse Development of Supervised Sentiment Analysis in the Clinical Domain
  31. W12-3713 [bib]: Kevin Reschke; Pranav Anand
    POLITICAL-ADS: An annotated corpus for modeling event-level evaluativity
  32. W12-3714 [bib]: Michal Ptaszynski; Rafal Rzepka; Kenji Araki; Yoshio Momouchi
    Automatically Annotating A Five-Billion-Word Corpus of Japanese Blogs for Affect and Sentiment Analysis
  33. W12-3715 [bib]: Gábor Berend; Veronika Vincze
    How to Evaluate Opinionated Keyphrase Extraction?
  34. W12-3716 [bib]: Josef Ruppenhofer; Ines Rehbein
    Semantic frames as an anchor representation for sentiment analysis
  35. W12-3717 [bib]: Dasha Bogdanova; Paolo Rosso; Thamar Solorio
    On the Impact of Sentiment and Emotion Based Features in Detecting Online Sexual Predators
  36. Proceedings of the Sixth Workshop on Syntax, Semantics and Structure in Statistical Translation

  37. W12-42 [bib]: Entire Volume
  38. W12-4200 [bib]: Front Matter

  39. W12-4201 [bib]: Marianna Apidianaki; Guillaume Wisniewski; Artem Sokolov; Aurèlien Max; François Yvon
    WSD for n-best reranking and local language modeling in SMT
  40. W12-4202 [bib]: Rui Wang; Petya Osenova; Kiril Simov
    Linguistically-Enriched Models for Bulgarian-to-English Machine Translation
  41. W12-4203 [bib]: Dominikus Wetzel; Francis Bond
    Enriching Parallel Corpora for Statistical Machine Translation with Semantic Negation Rephrasing
  42. W12-4204 [bib]: Ondrej Bojar; Dekai Wu
    Towards a Predicate-Argument Evaluation for MT
  43. W12-4205 [bib]: Rudolf Rosa; Ondřej Dušek; David Mareček; Martin Popel
    Using Parallel Features in Parsing of Machine-Translated Sentences for Correction of Grammatical Errors
  44. W12-4206 [bib]: Chi-kiu Lo; Dekai Wu
    Unsupervised vs. supervised weight estimation for semantic MT evaluation metrics
  45. W12-4207 [bib]: Dan Han; Katsuhito Sudoh; Xianchao Wu; Kevin Duh; Hajime Tsukada; Masaaki Nagata
    Head Finalization Reordering for Chinese-to-Japanese Machine Translation
  46. W12-4208 [bib]: Petter Haugereid; Francis Bond
    Extracting Semantic Transfer Rules from Parallel Corpora with SMT Phrase Aligners
  47. W12-4209 [bib]: Daniel Quernheim; Kevin Knight
    Towards Probabilistic Acceptors and Transducers for Feature Structures
  48. W12-4210 [bib]: Mihael Arcan; Christian Federmann; Paul Buitelaar
    Using Domain-specific and Collaborative Resources for Term Translation
  49. W12-4211 [bib]: Karunesh Kumar Arora; R. Mahesh K. Sinha
    Improving Statistical Machine Translation through co-joining parts of verbal constructs in English-Hindi translation
  50. W12-4212 [bib]: Svetla Koeva; Svetlozara Leseva; Ivelina Stoyanova; Rositsa Dekova; Angel Genov; Borislav Rizov; Tsvetana Dimitrova; Ekaterina Tarpomanova; Hristina Kukova
    Application of Clause Alignment for Statistical Machine Translation
  51. W12-4213 [bib]: Hirotoshi Taira; Katsuhito Sudoh; Masaaki Nagata
    Zero Pronoun Resolution can Improve the Quality of J-E Translation
  52. *SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)

  53. S12-1 [bib]: Entire Volume
  54. S12-1000 [bib]: Front Matter

  55. S12-1001 [bib]: Carina Silberer; Anette Frank
    Casting Implicit Role Linking as an Anaphora Resolution Task
  56. S12-1002 [bib]: Razvan Bunescu
    Adaptive Clustering for Coreference Resolution with Deterministic Rules and Web-Based Language Models
  57. S12-1003 [bib]: Samer Hassan; Carmen Banea; Rada Mihalcea
    Measuring Semantic Relatedness using Multilingual Representations
  58. S12-1004 [bib]: Bharath Dandala; Rada Mihalcea; Razvan Bunescu
    Towards Building a Multilingual Semantic Network: Identifying Interlingual Links in Wikipedia
  59. S12-1005 [bib]: Lili Kotlerman; Ido Dagan; Maya Gorodetsky; Ezra Daya
    Sentence Clustering via Projection over Term Clusters
  60. S12-1006 [bib]: Blake Howald; Martha Abramson
    The Use of Granularity in Rhetorical Relation Prediction
  61. S12-1007 [bib]: Sophia Katrenko
    "Could you make me a favour and do coffee, please?": Implications for Automatic Error Correction in English and Dutch
  62. S12-1008 [bib]: Rao Muhammad Adeel Nawab; Mark Stevenson; Paul Clough
    Detecting Text Reuse with Modified and Weighted N-grams
  63. S12-1009 [bib]: Chaya Liebeskind; Ido Dagan; Jonathan Schler
    Statistical Thesaurus Construction for a Morphologically Rich Language
  64. S12-1010 [bib]: Yuancheng Tu; Dan Roth
    Sorting out the Most Confusing English Phrasal Verbs
  65. S12-1011 [bib]: Karl Moritz Hermann; Chris Dyer; Phil Blunsom; Stephen Pulman
    Learning Semantics and Selectional Preference of Adjective-Noun Pairs
  66. S12-1012 [bib]: Alessandro Lenci; Giulia Benotto
    Identifying hypernyms in distributional semantic spaces
  67. S12-1013 [bib]: Bert Baumgaertner; Raquel Fernandez; Matthew Stone
    Towards a Flexible Semantics: Colour Terms in Collaborative Reference Tasks
  68. S12-1014 [bib]: Wesley May; Sanja Fidler; Afsaneh Fazly; Sven Dickinson; Suzanne Stevenson
    Unsupervised Disambiguation of Image Captions
  69. S12-1015 [bib]: Steffen Eger
    Lexical semantic typologies from bilingual corpora — A framework
  70. S12-1016 [bib]: Richard Johansson
    Non-atomic Classification to Improve a Semantic Role Labeler for a Low-resource Language
  71. S12-1017 [bib]: Richard Fothergill; Timothy Baldwin
    Combining resources for MWE-token classification
  72. S12-1018 [bib]: Anais Cadilhac; Nicholas Asher; Farah Benamara
    Annotating Preferences in Negotiation Dialogues
  73. S12-1019 [bib]: Brian Murphy; Partha Talukdar; Tom Mitchell
    Selecting Corpus-Semantic Models for Neurolinguistic Decoding
  74. S12-1020 [bib]: Lauri Karttunen
    Simple and Phrasal Implicatives
  75. S12-1021 [bib]: Karl Moritz Hermann; Phil Blunsom; Stephen Pulman
    An Unsupervised Ranking Model for Noun-Noun Compositionality
  76. S12-1022 [bib]: Mehdi Manshadi; James Allen
    Expanding the Range of Tractable Scope-Underspecified Semantic Representations
  77. S12-1023 [bib]: Gemma Boleda; Sebastian Padó; Jason Utt
    Regular polysemy: A distributional model
  78. S12-1024 [bib]: Selja Seppälä; Lucie Barque; Alexis Nasr
    Extracting a Semantic Lexicon of French Adjectives from a Large Lexicographic Dictionary
  79. S12-1025 [bib]: Diarmuid Ó Sèaghdha; Anna Korhonen
    Modelling selectional preferences in a lexical hierarchy
  80. S12-1026 [bib]: Hagen Fürstenau; Owen Rambow
    Unsupervised Induction of a Syntax-Semantics Lexicon Using Iterative Refinement
  81. S12-1027 [bib]: David Jurgens
    An Evaluation of Graded Sense Disambiguation using Word Sense Induction
  82. S12-1028 [bib]: Ashequl Qadir; Ellen Riloff
    Ensemble-based Semantic Lexicon Induction for Semantic Tagging
  83. S12-1029 [bib]: Dipanjan Das; Andrè F. T. Martins; Noah A. Smith
    An Exact Dual Decomposition Algorithm for Shallow Semantic Parsing with Constraints
  84. S12-1030 [bib]: Michael Roth; Anette Frank
    Aligning Predicate Argument Structures in Monolingual Comparable Texts: A New Corpus for a New Task
  85. S12-1031 [bib]: Andrew MacKinlay; Rebecca Dridan; Diana McCarthy; Timothy Baldwin
    The Effects of Semantic Annotations on Precision Parse Ranking
  86. S12-1032 [bib]: Eyal Shnarch; Ido Dagan; Jacob Goldberger
    A Probabilistic Lexical Model for Ranking Textual Inferences
  87. S12-1033 [bib]: Saif Mohammad
    #Emotional Tweets
  88. S12-1034 [bib]: Juri Ganitkevitch; Benjamin Van Durme; Chris Callison-Burch
    Monolingual Distributional Similarity for Text-to-Text Generation
  89. S12-1035 [bib]: Roser Morante; Eduardo Blanco
    *SEM 2012 Shared Task: Resolving the Scope and Focus of Negation
  90. S12-1036 [bib]: Binod Gyawali; Thamar Solorio
    UABCoRAL: A Preliminary study for Resolving the Scope of Negation
  91. S12-1037 [bib]: Jorge Carrillo de Albornoz; Laura Plaza; Alberto Dìaz; Miguel Ballesteros
    UCM-I: A Rule-based Syntactic Approach for Resolving the Scope of Negation
  92. S12-1038 [bib]: Miguel Ballesteros; Alberto Dìaz; Virginia Francisco; Pablo Gervás; Jorge Carrillo de Albornoz; Laura Plaza
    UCM-2: a Rule-Based Approach to Infer the Scope of Negation via Dependency Parsing
  93. S12-1039 [bib]: Sabine Rosenberg; Sabine Bergler
    UConcordia: CLaC Negation Focus Detection at *Sem 2012
  94. S12-1040 [bib]: Valerio Basile; Johan Bos; Kilian Evang; Noortje Venhuizen
    UGroningen: Negation detection with Discourse Representation Structures
  95. S12-1041 [bib]: Jonathon Read; Erik Velldal; Lilja Øvrelid; Stephan Oepen
    UiO1: Constituent-Based Discriminative Ranking for Negation Resolution
  96. S12-1042 [bib]: Emanuele Lapponi; Erik Velldal; Lilja Øvrelid; Jonathon Read
    UiO 2: Sequence-labeling Negation Using Dependency Features
  97. S12-1043 [bib]: Amjad Abu Jbara; Dragomir Radev
    UMichigan: A Conditional Random Field Model for Resolving the Scope of Negation
  98. S12-1044 [bib]: James Paul White
    UWashington: Negation Resolution using Machine Learning Methods
  99. S12-1045 [bib]: Md. Faisal Mahbub Chowdhury
    FBK: Exploiting Phrasal and Contextual Clues for Negation Scope Detection
  100. S12-1046 [bib]: Lucia Specia; Sujay Kumar Jauhar; Rada Mihalcea
    SemEval-2012 Task 1: English Lexical Simplification
  101. S12-1047 [bib]: David Jurgens; Saif Mohammad; Peter Turney; Keith Holyoak
    SemEval-2012 Task 2: Measuring Degrees of Relational Similarity
  102. S12-1048 [bib]: parisa kordjamshidi; steven bethard; Marie-Francine Moens
    SemEval-2012 Task 3: Spatial Role Labeling
  103. S12-1049 [bib]: Peng Jin; Yunfang Wu
    SemEval-2012 Task 4: Evaluating Chinese Word Similarity
  104. S12-1050 [bib]: Wanxiang Che; Meishan Zhang; Yanqiu Shao; Ting Liu
    SemEval-2012 Task 5: Chinese Semantic Dependency Parsing
  105. S12-1051 [bib]: Eneko Agirre; Daniel Cer; Mona Diab; Aitor Gonzalez-Agirre
    SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity
  106. S12-1052 [bib]: Andrew Gordon; Zornitsa Kozareva; Melissa Roemmele
    SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning
  107. S12-1053 [bib]: Matteo Negri; Alessandro Marchetti; Yashar Mehdad; Luisa Bentivogli; Danilo Giampiccolo
    Semeval-2012 Task 8: Cross-lingual Textual Entailment for Content Synchronization
  108. S12-1054 [bib]: Anders Johannsen; Hèctor Martìnez; Sigrid Klerke; Anders Søgaard
    EMNLP@CPH: Is frequency all there is to simplicity?
  109. S12-1055 [bib]: Bryan Rink; Sanda Harabagiu
    UTD: Determining Relational Similarity Using Lexical Patterns
  110. S12-1056 [bib]: Kirk Roberts; Sanda Harabagiu
    UTD-SpRL: A Joint Approach to Spatial Role Labeling
  111. S12-1057 [bib]: Yingjie Zhang; Bin Li; Xinyu Dai; Jiajun Chen
    MIXCD: System Description for Evaluating Chinese Word Similarity at SemEval-2012
  112. S12-1058 [bib]: Zhijun Wu; Xuan Wang; Xinxin Li
    Zhijun Wu: Chinese Semantic Dependency Parsing with Third-Order Features
  113. S12-1059 [bib]: Daniel Bär; Chris Biemann; Iryna Gurevych; Torsten Zesch
    UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures
  114. S12-1060 [bib]: Frane Šarić; Goran Glavaš; Mladen Karan; Jan Šnajder; Bojana Dalbelo Bašić
    TakeLab: Systems for Measuring Semantic Text Similarity
  115. S12-1061 [bib]: Sergio Jimenez; Claudia Becerra; Alexander Gelbukh
    Soft Cardinality: A Parameterized Similarity Function for Text Comparison
  116. S12-1062 [bib]: Enrique Amigó; Jesus Gimenez; Julio Gonzalo; Felisa Verdejo
    UNED: Improving Text Similarity Measures without Human Assessments
  117. S12-1063 [bib]: Travis Goodwin; Bryan Rink; Kirk Roberts; Sanda Harabagiu
    UTDHLT: COPACETIC System for Choosing Plausible Alternatives
  118. S12-1064 [bib]: Katharina Wäschle; Sascha Fendrich
    HDU: Cross-lingual Textual Entailment with SMT Features
  119. S12-1065 [bib]: Miquel Esplà-Gomis; Felipe Sánchez-Martìnez; Mikel L. Forcada
    UAlacant: Using Online Machine Translation for Cross-Lingual Textual Entailment
  120. S12-1066 [bib]: Sujay Kumar Jauhar; Lucia Specia
    UOW-SHEF: SimpLex – Lexical Simplicity Ranking based on Contextual and Psycholinguistic Features
  121. S12-1067 [bib]: Marilisa Amoia; Massimo Romanelli
    SB: mmSystem - Using Decompositional Semantics for Lexical Simplification
  122. S12-1068 [bib]: Anne-Laure Ligozat; Cyril Grouin; Anne Garcia-Fernandez; Delphine Bernhard
    ANNLOR: A Naïve Notation-system for Lexical Outputs Ranking
  123. S12-1069 [bib]: Ravi Sinha
    UNT-SimpRank: Systems for Lexical Simplification Ranking
  124. S12-1070 [bib]: Ted Pedersen
    Duluth : Measuring Degrees of Relational Similarity with the Gloss Vector Measure of Semantic Relatedness
  125. S12-1071 [bib]: Mireya Tovar; J. Alejandro Reyes; Azucena Montes; Darnes Vilariño; David Pinto; Saul León
    BUAP: A First Approximation to Relational Similarity Measuring
  126. S12-1072 [bib]: zhou qiaoli; zhang ling; liu fei; cai dongfeng; zhang guiping
    Zhou qiaoli: A divide-and-conquer strategy for semantic dependency parsing
  127. S12-1073 [bib]: Hao Xiong; Qun Liu
    ICT:A System Combination for Chinese Semantic Dependency Parsing
  128. S12-1074 [bib]: Guangchao Tang; Bin Li; Shuaishuai Xu; Xinyu Dai; Jiajun Chen
    NJU-Parser: Achievements on Semantic Dependency Parsing
  129. S12-1075 [bib]: Jian Xu; Qin Lu; Zhengzhong Liu
    PolyUCOMP: Combining Semantic Vectors with Skip bigrams for Semantic Textual Similarity
  130. S12-1076 [bib]: Michael Heilman; Nitin Madnani
    ETS: Discriminative Edit Models for Paraphrase Scoring
  131. S12-1077 [bib]: Samir AbdelRahman; Catherine Blake
    Sbdlrhmn: A Rule-based Human Interpretation System for Semantic Textual Similarity Task
  132. S12-1078 [bib]: Artem Sokolov
    LIMSI: Learning Semantic Similarity by Selecting Random Word Subsets
  133. S12-1079 [bib]: Demetrios Glinos
    ATA-Sem: Chunk-based Determination of Semantic Text Similarity
  134. S12-1080 [bib]: Davide Buscaldi; Ronan Tournier; Nathalie Aussenac-Gilles; Josiane Mothe
    IRIT: Textual Similarity Combining Conceptual Similarity with an N-Gram Comparison Method
  135. S12-1081 [revisions: v2] [bib]: Diana McCarthy; Spandana Gella; Siva Reddy
    DSS: Text Similarity Using Lexical Alignments of Form, Distributional Semantics and Grammatical Relations
  136. S12-1082 [bib]: NIkos Malandrakis; Elias Iosif; Alexandros Potamianos
    DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets
  137. S12-1083 [bib]: Snehasis Neogi; Partha Pakray; Sivaji Bandyopadhyay; Alexander Gelbukh
    JU_CSE_NLP: Multi-grade Classification of Semantic Similarity between Text Pairs
  138. S12-1084 [bib]: Zhu Tiantian; Lan Man
    Tiantianzhu7:System Description of Semantic Textual Similarity (STS) in the SemEval-2012 (Task 6)
  139. S12-1085 [bib]: Sumit Bhagwani; Shrutiranjan Satapathy; Harish Karnick
    sranjans : Semantic Textual Similarity using Maximal Weighted Bipartite Graph Matching
  140. S12-1086 [bib]: Weiwei Guo; Mona Diab
    Weiwei: A Simple Unsupervised Latent Semantics based Approach for Sentence Similarity
  141. S12-1087 [bib]: Annalina Caputo; Pierpaolo Basile; Giovanni Semeraro
    UNIBA: Distributional Semantics for Textual Similarity
  142. S12-1088 [bib]: Danilo Croce; Paolo Annesi; Valerio Storch; Roberto Basili
    UNITOR: Combining Semantic Text Similarity functions through SV Regression
  143. S12-1089 [bib]: Georgiana Dinu; Stefan Thater
    Saarland: Vector-based models of semantic textual similarity
  144. S12-1090 [bib]: Antonio Fernández; Yoan Gutièrrez; Hèctor Dávila; Alexander Chávez; Andy González; Rainel Estrada; Yenier Castañeda; Sonia Vázquez; Andrès Montoyo; Rafael Muñoz
    UMCC_DLSI: Multidimensional Lexical-Semantic Textual Similarity
  145. S12-1091 [bib]: Eric Yeh; Eneko Agirre
    SRIUBC: Simple Similarity Features for Semantic Textual Similarity
  146. S12-1092 [bib]: Josè Guilherme Camargo de Souza; Matteo Negri; Yashar Mehdad
    FBK: Machine Translation Evaluation and Word Similarity metrics for Semantic Textual Similarity
  147. S12-1093 [bib]: Maya Carrillo; Darnes Vilariño; David Pinto; Mireya Tovar; Saul León; Esteban Castillo
    FCC: Three Approaches for Semantic Textual Similarity
  148. S12-1094 [bib]: Carmen Banea; Samer Hassan; Michael Mohler; Rada Mihalcea
    UNT: A Supervised Synergistic Approach to Semantic Text Similarity
  149. S12-1095 [bib]: Nitish Aggarwal; Kartik Asooja; Paul Buitelaar
    DERI&UPM: Pushing Corpus Based Relatedness to Similarity: Shared Task System Description
  150. S12-1096 [bib]: Mengqiu Wang; Daniel Cer
    Stanford: Probabilistic Edit Distance Metrics for STS
  151. S12-1097 [bib]: Sam Biggins; Shaabi Mohammed; Sam Oakley; Luke Stringer; Mark Stevenson; Judita Preiss
    University_Of_Sheffield: Two Approaches to Semantic Text Similarity
  152. S12-1098 [bib]: Janardhan Singh; Arindam Bhattacharya; Pushpak Bhattacharyya
    janardhan: Semantic Textual Similarity using Universal Networking Language graph matching
  153. S12-1099 [bib]: Julio Castillo; Paula Estrella
    SAGAN: An approach to Semantic Textual Similarity based on Textual Entailment
  154. S12-1100 [bib]: Miguel Rios; Wilker Aziz; Lucia Specia
    UOW: Semantically Informed Text Similarity
  155. S12-1101 [bib]: Sneha Jha; Hansen A. Schwartz; Lyle Ungar
    Penn: Using Word Similarities to better Estimate Sentence Similarity
  156. S12-1102 [bib]: Sergio Jimenez; Claudia Becerra; Alexander Gelbukh
    Soft Cardinality + ML: Learning Adaptive Similarity Functions for Cross-lingual Textual Entailment
  157. S12-1103 [bib]: Snehasis Neogi; Partha Pakray; Sivaji Bandyopadhyay; Alexander Gelbukh
    JU_CSE_NLP: Language Independent Cross-lingual Textual Entailment System
  158. S12-1104 [bib]: Milen Kouylekov; Luca Dini; Alessio Bosca; Marco Trevisan
    CELI: An Experiment with Cross Language Textual Entailment
  159. S12-1105 [bib]: Yashar Mehdad; Matteo Negri; Jose Guilherme C. de Souza
    FBK: Cross-Lingual Textual Entailment Without Translation
  160. S12-1106 [bib]: Darnes Vilariño; David Pinto; Mireya Tovar; Saul León; Esteban Castillo
    BUAP: Lexical and Semantic Similarity for Cross-lingual Textual Entailment
  161. S12-1107 [bib]: Alpar Perini
    DirRelCond3: Detecting Textual Entailment Across Languages With Conditions On Directional Text Relatedness Scores
  162. S12-1108 [bib]: Fandong Meng; Hao Xiong; Qun Liu
    ICT: A Translation based Method for Cross-lingual Textual Entailment
  163. S12-1109 [bib]: Julio Castillo; Marina Cardenas
    SAGAN: A Machine Translation Approach for Cross-Lingual Textual Entailment


  1. Proceedings of the TextInfer 2011 Workshop on Textual Entailment

  2. W11-24 [bib]: Entire Volume
  3. W11-2400 [bib]: Front Matter

  4. W11-2401 [bib]: Detmar Meurers; Ramon Ziai; Niels Ott; Janina Kopp
    Evaluating Answers to Reading Comprehension Questions in Context: Results for German and the Role of Information Structure
  5. W11-2402 [bib]: Eyal Shnarch; Jacob Goldberger; Ido Dagan
    Towards a Probabilistic Model for Lexical Entailment
  6. W11-2403 [bib]: Shachar Mirkin; Ido Dagan; Lili Kotlerman; Idan Szpektor
    Classification-based Contextual Preferences
  7. W11-2404 [bib]: Milen Kouylekov; Yashar Mehdad; Matteo Negri
    Is it Worth Submitting this Run? Assess your RTE System with a Good Sparring Partner
  8. W11-2405 [bib]: Hideki Shima; Teruko Mitamura
    Diversity-aware Evaluation for Paraphrase Patterns
  9. W11-2406 [bib]: Christina Unger; Philipp Cimiano
    Representing and resolving ambiguities in ontology-based question answering
  10. W11-2407 [bib]: Tim Fernando
    Strings over intervals
  11. W11-2408 [bib]: Jonathan Gordon; Lenhart Schubert
    Discovering Commonsense Entailment Rules Implicit in Sentences
  12. Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics

  13. W11-25 [bib]: Entire Volume
  14. W11-2500 [bib]: Front Matter

  15. W11-2501 [bib]: Marco Baroni; Alessandro Lenci
    How we BLESSed distributional semantic evaluation
  16. W11-2502 [bib]: Alexander Panchenko
    Comparison of the Baseline Knowledge-, Corpus-, and Web-based Similarity Measures for Semantic Relations Extraction
  17. W11-2503 [bib]: Elia Bruni; Giang Binh Tran; Marco Baroni
    Distributional semantics from text and images
  18. W11-2504 [bib]: Tsz Ping Chan; Chris Callison-Burch; Benjamin Van Durme
    Reranking Bilingually Extracted Paraphrases Using Monolingual Distributional Similarity
  19. W11-2505 [bib]: Pierpaolo Basile; Annalina Caputo; Giovanni Semeraro
    Encoding syntactic dependencies by vector permutation
  20. W11-2506 [bib]: Matthias Hartung; Anette Frank
    Assessing Interpretable, Attribute-related Meaning Representations for Adjective-Noun Phrases in a Similarity Prediction Task
  21. W11-2507 [bib]: Edward Grefenstette; Mehrnoosh Sadrzadeh
    Experimenting with transitive verbs in a DisCoCat
  22. W11-2508 [bib]: Kristina Gulordava; Marco Baroni
    A distributional similarity approach to the detection of semantic change in the Google Books Ngram corpus.
  23. Proceedings of TextGraphs-6: Graph-based Methods for Natural Language Processing

  24. W11-11 [bib]: Entire Volume
  25. W11-1100 [bib]: Front Matter

  26. W11-1101 [bib]: Dingcheng Li and Swapna Somasundaran and Amit Chakraborty
    A Combination of Topic Models with Max-margin Learning for Relation Detection
  27. W11-1102 [bib]: Xuchen Yao and Benjamin Van Durme
    Nonparametric Bayesian Word Sense Induction
  28. W11-1103 [bib]: Benoit Gaillard and Bruno Gaume and Emmanuel Navarro
    Invariants and Variability of Synonymy Networks: Self Mediated Agreement by Confluence
  29. W11-1104 [bib]: David Jurgens
    Word Sense Induction by Community Detection
  30. W11-1105 [bib]: Majid Yazdani and Andrei Popescu-Belis
    Using a Wikipedia-based Semantic Relatedness Measure for Document Clustering
  31. W11-1106 [bib]: Xavier Tannier and Javier Couto ClÉment de Groc
    GrawlTCQ: Terminology and Corpora Building by Ranking Simultaneously Terms, Queries and Documents using Graph Random Walks
  32. W11-1107 [bib]: Pradeep Muthukrishnan and Dragomir Radev and Qiaozhu Mei
    Simultaneous Similarity Learning and Feature-Weight Learning for Document Clustering
  33. W11-1108 [bib]: Mehdi Manshadi and James Allen
    Unrestricted Quantifier Scope Disambiguation
  34. W11-1109 [bib]: Anders Sgaard
    From ranked words to dependency trees: two-stage unsupervised non-projective dependency parsing
  35. Proceedings of Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation

  36. W11-10 [bib]: Entire Volume
  37. W11-1000 [bib]: Front Matter

  38. W11-1001 [bib]: Daniele Pighin; Lluìs Màrquez
    Automatic Projection of Semantic Structures: an Application to Pairwise Translation Ranking
  39. W11-1002 [bib]: Chi-kiu Lo; Dekai Wu
    Structured vs. Flat Semantic Role Representations for Machine Translation Evaluation
  40. W11-1003 [bib]: Shumin Wu; Martha Palmer
    Semantic Mapping Using Automatic Word Alignment and Semantic Role Labeling
  41. W11-1004 [bib]: Jie Jiang; Jinhua Du; Andy Way
    Incorporating Source-Language Paraphrases into Phrase-Based SMT with Confusion Networks
  42. W11-1005 [bib]: Hwidong Na; Jong-Hyeok Lee
    Multi-Word Unit Dependency Forest-based Translation Rule Extraction
  43. W11-1006 [bib]: Els Lefever; Vèronique Hoste
    An Evaluation and Possible Improvement Path for Current SMT Behavior on Ambiguous Nouns
  44. W11-1007 [bib]: Bing Xiang; Niyu Ge; Abraham Ittycheriah
    Improving Reordering for Statistical Machine Translation with Smoothed Priors and Syntactic Features
  45. W11-1008 [bib]: Markus Saers; Dekai Wu
    Reestimation of Reified Rules in Semiring Parsing and Biparsing
  46. W11-1009 [bib]: Giuseppe Attardi; Atanas Chanev; Antonio Valerio Miceli Barone
    A Dependency Based Statistical Translation Model
  47. W11-1010 [bib]: Adam Meyers; Michiko Kosaka; Shasha Liao; Nianwen Xue
    Improving MT Word Alignment Using Aligned Multi-Stage Parses
  48. W11-1011 [bib]: Greg Hanneman; Alon Lavie
    Automatic Category Label Coarsening for Syntax-Based Machine Translation
  49. W11-1012 [bib]: Qin Gao; Stephan Vogel
    Utilizing Target-Side Semantic Role Labels to Assist Hierarchical Phrase-based Machine Translation
  50. W11-1013 [bib]: John McCrae; Mauricio Espinoza; Elena Montiel-Ponsoda; Guadalupe Aguado-de-Cea; Philipp Cimiano
    Combining statistical and semantic approaches to the translation of ontologies and taxonomies
  51. W11-1014 [bib]: Rafael E. Banchs; Marta R. Costa-jussa
    A Semantic Feature for Statistical Machine Translation
  52. W11-1015 [bib]: Greg Hanneman; Michelle Burroughs; Alon Lavie
    A General-Purpose Rule Extractor for SCFG-Based Machine Translation


  1. Proceedings of the Workshop on Negation and Speculation in Natural Language Processing

  2. W10-31 [bib]: Entire Volume
  3. W10-3100 [bib]: Front Matter

  4. W10-3101 [bib]: Maria Liakata
    Zones of conceptualisation in scientific papers: a window to negative and speculative statements
  5. W10-3102 [bib]: Hercules Dalianis; Maria Skeppstedt
    Creating and evaluating a consensus for negated and speculative words in a Swedish clinical corpus
  6. W10-3103 [bib]: Sumithra Velupillai
    Towards a better understanding of uncertainties and speculations in Swedish clinical text – Analysis of an initial annotation trial
  7. W10-3104 [bib]: Ira Goldstein; Özlem Uzuner
    Does negation really matter?
  8. W10-3105 [bib]: Veronika Vincze
    Speculation and negation annotation in natural language texts: what the case of BioScope might (not) reveal
  9. W10-3106 [bib]: Julien Desclés; Olfa Makkaoui; Taouise Hacène
    Automatic annotation of speculation in biomedical texts: new perspectives and large-scale evaluation
  10. W10-3107 [bib]: Aron Henriksson; Sumithra Velupillai
    Levels of certainty in knowledge-intensive corpora: an initial annotation study
  11. W10-3108 [bib]: Martin Krallinger
    Importance of negations and experimental qualifiers in biomedical literature
  12. W10-3109 [bib]: Ed Hovy
    Negation and modality in distributional semantics
  13. W10-3110 [bib]: Isaac Councill; Ryan McDonald; Leonid Velikovich
    What’s great and what’s not: learning to classify the scope of negation for improved sentiment analysis
  14. W10-3111 [bib]: Michael Wiegand; Alexandra Balahur; Benjamin Roth; Dietrich Klakow; Andrés Montoyo
    A survey on the role of negation in sentiment analysis
  15. W10-3112 [bib]: Raheel Nawaz; Paul Thompson; Sophia Ananiadou
    Evaluating a meta-knowledge annotation scheme for bio-events
  16. W10-3113 [bib]: Farzaneh Sarafraz; Goran Nenadic
    Using SVMs with the Command Relation features to identify negated events in biomedical literature
  17. W10-3114 [bib]: Bernardo Magnini; Elena Cabrio
    Contradiction-focused qualitative evaluation of textual entailment


  1. Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing (TextGraphs-4)

  2. W09-32 [bib]: Entire Volume
  3. W09-3200 [bib]: Front Matter

  4. W09-3201 [bib]: David Ellis
    Social (distributed) language modeling, clustering and dialectometry
  5. W09-3202 [bib]: Sitabhra Sinha; Raj Kumar Pan; Nisha Yadav; Mayank Vahia; Iravatham Mahadevan
    Network analysis reveals structure indicative of syntax in the corpus of undeciphered Indus civilization inscriptions
  6. W09-3203 [bib]: Martijn Wieling; John Nerbonne
    Bipartite spectral graph partitioning to co-cluster varieties and sound correspondences in dialectology
  7. W09-3204 [bib]: Daniel Ramage; Anna N. Rafferty; Christopher D. Manning
    Random Walks for Text Semantic Similarity
  8. W09-3205 [bib]: Yoshimi Suzuki; Fumiyo Fukumoto
    Classifying Japanese Polysemous Verbs based on Fuzzy C-means Clustering
  9. W09-3206 [bib]: Eric Yeh; Daniel Ramage; Christopher D. Manning; Eneko Agirre; Aitor Soroa
    WikiWalk: Random walks on Wikipedia for Semantic Relatedness
  10. W09-3207 [bib]: Amaç Herdagdelen; Katrin Erk; Marco Baroni
    Measuring semantic relatedness with vector space models and random walks
  11. W09-3208 [bib]: Zheng Chen; Heng Ji
    Graph-based Event Coreference Resolution
  12. W09-3209 [bib]: Delip Rao; David Yarowsky
    Ranking and Semi-supervised Classification on Large Scale Graphs Using Map-Reduce
  13. W09-3210 [bib]: Swapna Somasundaran; Galileo Namata; Lise Getoor; Janyce Wiebe
    Opinion Graphs for Polarity and Discourse Classification
  14. W09-3211 [bib]: Linlin Li; Caroline Sporleder
    A Cohesion Graph Based Approach for Unsupervised Recognition of Literal and Non-literal Use of Multiword Expressions
  15. W09-3212 [bib]: Scott Martens
    Quantitative analysis of treebanks using frequent subtree mining methods
  16. Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (SEW-2009)

  17. W09-24 [bib]: Entire Volume
  18. W09-2400 [bib]: Front Matter

  19. W09-2401 [bib]: Diana McCarthy
    Invited Talk: Alternative Annotations of Word Usage
  20. W09-2402 [bib]: Rebecca Passoneau; Ansaf Salleb-Aouissi; Nancy Ide
    Making Sense of Word Sense Variation
  21. W09-2403 [bib]: Judita Preiss; Jon Dehdari; Josh King; Dennis Mehay
    Refining the most frequent sense baseline
  22. W09-2404 [bib]: Marine Carpuat
    One Translation Per Discourse
  23. W09-2405 [bib]: Hansen A. Schwartz; Fernando Gomez
    Using Web Selectors for the Disambiguation of All Words
  24. W09-2406 [bib]: Vaclav Novak; Sven Hartrumpf; Keith Hall
    Large-scale Semantic Networks: Annotation and Evaluation
  25. W09-2407 [bib]: Paul M. Heider; Rohini K. Srihari
    Making Semantic Topicality Robust Through Term Abstraction
  26. W09-2408 [bib]: Oleksandr Kolomiyets; Marie-Francine Moens
    Meeting TempEval-2: Shallow Approach for Temporal Tagger
  27. W09-2409 [bib]: Paul Nulty; Fintan Costello
    Using Lexical Patterns in the Google Web 1T Corpus to Deduce Semantic Relations Between Nouns
  28. W09-2410 [bib]: Weiwei Guo; Mona Diab
    Improvements To Monolingual English Word Sense Disambiguation
  29. W09-2411 [bib]: Marta Recasens; Toni Martí; Mariona Taulé; Lluís Màrquez; Emili Sapena
    SemEval-2010 Task 1: Coreference Resolution in Multiple Languages
  30. W09-2412 [bib]: Ravi Sinha; Diana McCarthy; Rada Mihalcea
    SemEval-2010 Task 2: Cross-Lingual Lexical Substitution
  31. W09-2413 [bib]: Els Lefever; Veronique Hoste
    SemEval-2010 Task 3: Cross-lingual Word Sense Disambiguation
  32. W09-2414 [bib]: James Pustejovsky; Anna Rumshisky
    SemEval-2010 Task 7: Argument Selection and Coercion
  33. W09-2415 [bib]: Iris Hendrickx; Su Nam Kim; Zornitsa Kozareva; Preslav Nakov; Diarmuid Ó Séaghdha; Sebastian Padó; Marco Pennacchiotti; Lorenza Romano; Stan Szpakowicz
    SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals
  34. W09-2416 [bib]: Cristina Butnariu; Su Nam Kim; Preslav Nakov; Diarmuid Ó Séaghdha; Stan Szpakowicz; Tony Veale
    SemEval-2010 Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions
  35. W09-2417 [bib]: Josef Ruppenhofer; Caroline Sporleder; Roser Morante; Collin Baker; Martha Palmer
    SemEval-2010 Task 10: Linking Events and Their Participants in Discourse
  36. W09-2418 [bib]: James Pustejovsky; Marc Verhagen
    SemEval-2010 Task 13: Evaluating Events, Time Expressions, and Temporal Relations (TempEval-2)
  37. W09-2419 [bib]: Suresh Manandhar; Ioannis Klapaftis
    SemEval-2010 Task 14: Evaluation Setting for Word Sense Induction & Disambiguation Systems
  38. W09-2420 [bib]: Eneko Agirre; Oier Lopez de Lacalle; Christiane Fellbaum; Andrea Marchetti; Antonio Toral; Piek Vossen
    SemEval-2010 Task 17: All-words Word Sense Disambiguation on a Specific Domain
  39. W09-2421 [bib]: Cláudia Freitas; Diana Santos; Cristina Mota; Hugo Gonçalo Oliveira; Paula Carvalho
    Relation detection between named entities: report of a shared task
  40. W09-2422 [bib]: Chong Min Lee; Graham Katz
    Error Analysis of the TempEval Temporal Relation Identification Task
  41. W09-2423 [bib]: Adam Meyers; Michiko Kosaka; Nianwen Xue; Heng Ji; Ang Sun; Shasha Liao; Wei Xu
    Automatic Recognition of Logical Relations for English, Chinese and Japanese in the GLARF Framework
  42. Proceedings of the Workshop on Geometrical Models of Natural Language Semantics

  43. W09-02 [bib]: Entire Volume
  44. W09-0200 [bib]: Front Matter

  45. W09-0201 [bib]: Marco Baroni; Alessandro Lenci
    One Distributional Memory, Many Semantic Spaces
  46. W09-0202 [bib]: Yves Peirsman; Dirk Speelman
    Word Space Models of Lexical Variation
  47. W09-0203 [bib]: Klaus Rothenhäusler; Hinrich Schütze
    Unsupervised Classification with Dependency Based Word Spaces
  48. W09-0204 [bib]: Lidan Zhang; Kwok-Ping Chan
    A Study of Convolution Tree Kernel with Local Alignment
  49. W09-0205 [bib]: Amaç Herdağdelen; Marco Baroni
    BagPack: A General Framework to Represent Semantic Relations
  50. W09-0206 [bib]: Fridolin Wild; Bernhard Hoisl; Gaston Burek
    Positioning for Conceptual Development using Latent Semantic Analysis
  51. W09-0207 [bib]: Ruslan Mitkov; Le An Ha; Andrea Varga; Luz Rello
    Semantic Similarity of Distractors in Multiple-Choice Tests: Extrinsic Evaluation
  52. W09-0208 [bib]: Katrin Erk; Sebastian Padó
    Paraphrase Assessment in Structured Vector Space: Exploring Parameters and Datasets
  53. W09-0209 [bib]: Francesca Fallucchi; Fabio Massimo Zanzotto
    SVD Feature Selection for Probabilistic Taxonomy Learning
  54. W09-0210 [bib]: Andreas Vlachos; Anna Korhonen; Zoubin Ghahramani
    Unsupervised and Constrained Dirichlet Process Mixture Models for Verb Clustering
  55. W09-0211 [bib]: Tim Van de Cruys
    A Non-negative Tensor Factorization Model for Selectional Preference Induction
  56. W09-0212 [bib]: Beate Dorow; Florian Laws; Lukas Michelbacher; Christian Scheible; Jason Utt
    A Graph-Theoretic Algorithm for Automatic Extension of Translation Lexicons
  57. W09-0213 [bib]: Mona Diab; Madhav Krishna
    Handling Sparsity for Verb Noun MWE Token Classification
  58. W09-0214 [bib]: Eyal Sagi; Stefan Kaufmann; Brady Clark
    Semantic Density Analysis: Comparing Word Meaning across Time and Phonetic Space
  59. W09-0215 [bib]: Daoud Clarke
    Context-theoretic Semantics for Natural Language: an Overview


  1. Coling 2008: Proceedings of the 3rd Textgraphs workshop on Graph-based Algorithms for Natural Language Processing

  2. W08-20 [bib]: Entire Volume
  3. W08-2000 [bib]: Front Matter

  4. W08-2001 [bib]: Nabil Hathout
    Acquistion of the Morphological Structure of the Lexicon Based on Lexical Similarity and Formal Analogy
  5. W08-2002 [bib]: Smaranda Muresan
    Learning to Map Text to Graph-Based Meaning Representations via Grammar Induction
  6. W08-2003 [bib]: Alexandre Blondin Massé; Guillaume Chicoisne; Yassine Gargouri; Stevan Harnad; Odile Marcotte; Olivier Picard
    How is Meaning Grounded in Dictionary Definitions?
  7. W08-2004 [bib]: Alessandro Moschitti; Fabio Massimo Zanzotto
    Encoding Tree Pair-Based Graphs in Learning Algorithms: The Textual Entailment Recognition Case
  8. W08-2005 [bib]: Kenichi Ichioka; Fumiyo Fukumoto
    Graph-Based Clustering for Semantic Classification of Onomatopoetic Words
  9. W08-2006 [bib]: Delip Rao; David Yarowsky; Chris Callison-Burch
    Affinity Measures Based on the Graph Laplacian
  10. W08-2007 [bib]: Barbara McGillivray; Christer Johansson; Daniel Apollon
    Semantic Structure from Correspondence Analysis
  11. W08-2008 [bib]: Laura Plaza; Alberto Díaz; Pablo Gervás
    Concept-Graph Based Biomedical Automatic Summarization Using Ontologies
  12. W08-2009 [bib]: Hiroyuki Akama; Jaeyoung Jung; Terry Joyce; Maki Miyake
    Random Graph Model Simulations of Semantic Networks for Associative Concept Dictionaries
  13. Coling 2008: Proceedings of the Workshop on Cognitive Aspects of the Lexicon (COGALEX 2008)

  14. W08-19 [bib]: Entire Volume
  15. W08-1900 [bib]: Front Matter

  16. W08-1901 [bib]: Terry Joyce; Irena Srdanović
    Comparing Lexical Relationships Observed within Japanese Collocation Data and Japanese Word Association Norms
  17. W08-1902 [bib]: Michael Zock; Didier Schwab
    Lexical access based on underspecified input
  18. W08-1903 [bib]: Fons Moerdijk; Carole Tiberius; Jan Niestadt
    Accessing the ANW Dictionary
  19. W08-1904 [bib]: Claire Brierley; Eric Atwell
    ProPOSEL: a human-oriented prosody and PoS English lexicon for machine-learning and NLP
  20. W08-1905 [bib]: Gerardo Sierra
    Natural Language Searching in Onomasiological Dictionaries
  21. W08-1906 [bib]: Carolin Möller-Spitzer; Christine Möhrs
    First ideas of user-adapted views of lexicographic data exemplified on OWID and elexiko
  22. W08-1907 [bib]: Chu-Ren Huang; Ya-Min Chou; Chiyo Hotani; Sheng-Yi Chen; Wan-Ying Lin
    Multilingual Conceptual Access to Lexicon based on Shared Orthography: An ontology-driven study of Chinese and Japanese
  23. W08-1908 [bib]: Neculai Curteanu; Alex Moruz; Diana Trandabat
    Extracting Sense Trees from the Romanian Thesaurus by Sense Segmentation & Dependency Parsing
  24. W08-1909 [bib]: Andreyeva Sasha
    Lexical-Functional Correspondences and Their Use in the System of Machine Translation ETAP-3
  25. W08-1910 [bib]: Kyoko Kanzaki; Noriko Tomuro; Hitoshi Isahara
    The "Close-Distant" Relation of Adjectival Concepts Based on Self-Organizing Map
  26. W08-1911 [bib]: Max Aurélien; Michael Zock
    Looking up phrase rephrasings via a pivot language
  27. W08-1912 [bib]: Bruno Gaume; Karine Duvignau; Laurent Prévot; Yann Desalle
    Toward a cognitive organization for electronic dictionaries, the case for semantic proxemy
  28. W08-1913 [bib]: Gerhard Kremer; Andrea Abel; Marco Baroni
    Cognitively Salient Relations for Multilingual Lexicography
  29. W08-1914 [bib]: Reinhard Rapp
    The Computation of Associative Responses to Multiword Stimuli


  1. Acquisition and Management of Mulitlingual Lexicons, Workshop at RANLP-2007, September 30, 2007 (Endorsed by the ACL Special Interest Group on the Lexicon)

    To Meeting Home Page

  2. Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007)

  3. S07-1 [bib]: Entire Volume
  4. S07-1000 [bib]: Front Matter

  5. S07-1001 [bib]: Eneko Agirre; Bernardo Magnini; Oier Lopez de Lacalle; Arantxa Otegi; German Rigau; Piek Vossen
    SemEval-2007 Task 01: Evaluating WSD on Cross-Language Information Retrieval
  6. S07-1002 [bib]: Eneko Agirre; Aitor Soroa
    SemEval-2007 Task 02: Evaluating Word Sense Induction and Discrimination Systems
  7. S07-1003 [bib]: Roxana Girju; Preslav Nakov; Vivi Nastase; Stan Szpakowicz; Peter Turney; Deniz Yuret
    SemEval-2007 Task 04: Classification of Semantic Relations between Nominals
  8. S07-1004 [bib]: Peng Jin; Yunfang Wu; Shiwen Yu
    SemEval-2007 Task 05: Multilingual Chinese-English Lexical Sample
  9. S07-1005 [bib]: Kenneth C. Litkowski; Orin Hargraves
    SemEval-2007 Task 06: Word-Sense Disambiguation of Prepositions
  10. S07-1006 [bib]: Roberto Navigli; Kenneth C. Litkowski; Orin Hargraves
    SemEval-2007 Task 07: Coarse-Grained English All-Words Task
  11. S07-1007 [bib]: Katja Markert; Malvina Nissim
    SemEval-2007 Task 08: Metonymy Resolution at SemEval-2007
  12. S07-1008 [bib]: Lluís Màrquez; Lluis Villarejo; M. A. Martí; Mariona Taulé
    SemEval-2007 Task 09: Multilevel Semantic Annotation of Catalan and Spanish
  13. S07-1009 [bib]: Diana McCarthy; Roberto Navigli
    SemEval-2007 Task 10: English Lexical Substitution Task
  14. S07-1010 [bib]: Hwee Tou Ng; Yee Seng Chan
    SemEval-2007 Task 11: English Lexical Sample Task via English-Chinese Parallel Text
  15. S07-1011 [bib]: Zeynep Orhan; Emine Çelik; Demirgüç Neslihan
    SemEval-2007 Task 12: Turkish Lexical Sample Task
  16. S07-1012 [bib]: Javier Artiles; Julio Gonzalo; Satoshi Sekine
    The SemEval-2007 WePS Evaluation: Establishing a benchmark for the Web People Search Task
  17. S07-1013 [bib]: Carlo Strapparava; Rada Mihalcea
    SemEval-2007 Task 14: Affective Text
  18. S07-1014 [bib]: Marc Verhagen; Robert Gaizauskas; Frank Schilder; Mark Hepple; Graham Katz; James Pustejovsky
    SemEval-2007 Task 15: TempEval Temporal Relation Identification
  19. S07-1015 [bib]: Montse Cuadros; German Rigau
    SemEval-2007 Task 16: Evaluation of Wide Coverage Knowledge Resources
  20. S07-1016 [bib]: Sameer Pradhan; Edward Loper; Dmitriy Dligach; Martha Palmer
    SemEval-2007 Task-17: English Lexical Sample, SRL and All Words
  21. S07-1017 [bib]: Mona Diab; Musa Alkhalifa; Sabry ElKateb; Christiane Fellbaum; Aous Mansouri; Martha Palmer
    SemEval-2007 Task 18: Arabic Semantic Labeling
  22. S07-1018 [bib]: Collin Baker; Michael Ellsworth; Katrin Erk
    SemEval-2007 Task 19: Frame Semantic Structure Extraction
  23. S07-1019 [bib]: Els Lefever; Véronique Hoste; Timur Fayruzov
    AUG: A combined classification and clustering approach for web people disambiguation
  24. S07-1020 [bib]: Oi Yee Kwong
    CITYU-HIF: WSD with Human-Informed Feature Preference
  25. S07-1021 [bib]: Kenneth C. Litkowski
    CLR: Integration of FrameNet in a Text Representation System
  26. S07-1022 [bib]: Alina Andreevskaia; Sabine Bergler
    CLaC and CLaC-NB: Knowledge-based and corpus-based approaches to sentiment tagging
  27. S07-1023 [bib]: Alicia Tribble; Scott E. Fahlman
    CMU-AT: Semantic Distance and Background Knowledge for Identifying Semantic Relations
  28. S07-1024 [bib]: Ying Chen; James H. Martin
    CU-COMSEM: Exploring Rich Features for Unsupervised Web Personal Name Disambiguation
  29. S07-1025 [bib]: Steven Bethard; James H. Martin
    CU-TMP: Temporal Relation Classification Using Syntactic and Semantic Features
  30. S07-1026 [bib]: Mona Diab; Alessandro Moschitti; Daniele Pighin
    CUNIT: A Semantic Role Labeling System for Modern Standard Arabic
  31. S07-1027 [bib]: Andrea Heyl; Günter Neumann
    DFKI2: An Information Extraction Based Approach to People Disambiguation
  32. S07-1028 [bib]: Claudio Giuliano; Alberto Lavelli; Daniele Pighin; Lorenza Romano
    FBK-IRST: Kernel Methods for Semantic Relation Extraction
  33. S07-1029 [bib]: Claudio Giuliano; Alfio Gliozzo; Carlo Strapparava
    FBK-irst: Lexical Substitution Task Exploiting Domain and Syntagmatic Coherence
  34. S07-1030 [bib]: Paul Kalmar; Matthias Blume
    FICO: Web Person Disambiguation Via Weighted Similarity of Entity Contexts
  35. S07-1031 [bib]: Johannes Leveling
    FUH (FernUniversität in Hagen): Metonymy Recognition Using Different Kinds of Context for a Memory-Based Learner
  36. S07-1032 [bib]: Rubén Izquierdo; Armando Suárez; German Rigau
    GPLSI: Word Coarse-grained Disambiguation aided by Basic Level Concepts
  37. S07-1033 [bib]: Richárd Farkas; Eszter Simon; György Szarvas; Dániel Varga
    GYDER: Maxent Metonymy Resolution
  38. S07-1034 [bib]: Yuhang Guo; Wanxiang Che; Yuxuan Hu; Wei Zhang; Ting Liu
    HIT-IR-WSD: A WSD System for English Lexical Sample Task
  39. S07-1035 [bib]: PengYuan Liu; TieJun Zhao; MuYun Yang
    HIT-WSD: Using Search Engine for Multilingual Chinese-English Lexical Sample Task
  40. S07-1036 [bib]: Shiqi Zhao; Lin Zhao; Yu Zhang; Ting Liu; Sheng Li
    HIT: Web based Scoring Method for English Lexical Substitution
  41. S07-1037 [bib]: Zheng-Yu Niu; Dong-Hong Ji; Chew-Lim Tan
    I2R: Three Systems for Word Sense Discrimination, Chinese Word Sense Disambiguation, and English Word Sense Disambiguation
  42. S07-1038 [bib]: Roser Morante; Bertjan Busser
    ILK2: Semantic Role Labeling of Catalan and Spanish using TiMBL
  43. S07-1039 [bib]: Iris Hendrickx; Roser Morante; Caroline Sporleder; Antal van den Bosch
    ILK: Machine learning of semantic relations with shallow features and almost no data
  44. S07-1040 [bib]: Octavian Popescu; Sara Tonelli; Emanuele Pianta
    IRST-BP: Preposition Disambiguation based on Chain Clarifying Relationships Contexts
  45. S07-1041 [bib]: Octavian Popescu; Bernardo Magnini
    IRST-BP: Web People Search Using Name Entities
  46. S07-1042 [bib]: Delip Rao; Nikesh Garera; David Yarowsky
    JHU1 : An Unsupervised Approach to Person Name Disambiguation using Web Snippets
  47. S07-1043 [bib]: Sudip Kumar Naskar; Sivaji Bandyopadhyay
    JU-SKNSB: Extended WordNet Based WSD on the English All-Words Task at SemEval-1
  48. S07-1044 [bib]: Deniz Yuret
    KU: Word Sense Disambiguation by Substitution
  49. S07-1045 [bib]: Adriana Badulescu; Munirathnam Srikanth
    LCC-SRN: LCC's SRN System for SemEval 2007 Task 4
  50. S07-1046 [bib]: Congmin Min; Munirathnam Srikanth; Abraham Fowler
    LCC-TE: A Hybrid Approach to Temporal Relation Identification in News Text
  51. S07-1047 [bib]: Adrian Novischi; Muirathnam Srikanth; Andrew Bennett
    LCC-WSD: System Description for English Coarse Grained All Words Task at SemEval 2007
  52. S07-1048 [bib]: Richard Johansson; Pierre Nugues
    LTH: Semantic Structure Extraction using Nonprojective Dependency Trees
  53. S07-1049 [bib]: Su Nam Kim; Timothy Baldwin
    MELB-KB: Nominal Classification as Noun Compound Interpretation
  54. S07-1050 [bib]: David Martinez; Su Nam Kim; Timothy Baldwin
    MELB-MKB: Lexical Substitution system based on Relatives in Context
  55. S07-1051 [bib]: Patrick Ye; Timothy Baldwin
    MELB-YB: Preposition Sense Disambiguation Using Rich Semantic Features
  56. S07-1052 [bib]: Yuchang Cheng; Masayuki Asahara; Yuji Matsumoto
    NAIST.Japan: Temporal Relation Identification Using Dependency Parsed Tree
  57. S07-1053 [bib]: Jun Fu Cai; Wee Sun Lee; Yee Whye Teh
    NUS-ML:Improving Word Sense Disambiguation Using Topic Features
  58. S07-1054 [bib]: Yee Seng Chan; Hwee Tou Ng; Zhi Zhong
    NUS-PT: Exploiting Parallel Texts for Word Sense Disambiguation in the English All-Words Tasks
  59. S07-1055 [bib]: Harri M. T. Saarikoski
    OE: WSD Using Optimal Ensembling (OE) Method
  60. S07-1056 [bib]: Peng Jin; Danqing Zhu; Fuxin Li; Yunfang Wu
    PKU: Combining Supervised Classifiers with Features Selection
  61. S07-1057 [bib]: Stephen Tratz; Antonio Sanfilippo; Michelle Gregory; Alan Chappell; Christian Posse; Paul Whitney
    PNNL: A Supervised Maximum Entropy Approach to Word Sense Disambiguation
  62. S07-1058 [bib]: Ergin Elmacioglu; Yee Fan Tan; Su Yan; Min-Yen Kan; Dongwon Lee
    PSNUS: Web People Name Disambiguation by Simple Clustering with Rich Features
  63. S07-1059 [bib]: Jonathan Chang; Miroslav Dudik; David Blei
    PU-BCD: Exponential Family Models for the Coarse- and Fine-Grained All-Words Tasks
  64. S07-1060 [bib]: Jordan Boyd-Graber; David Blei
    PUTOP: Turning Predominant Senses into a Topic Model for Word Sense Disambiguation
  65. S07-1061 [bib]: Radu Ion; Dan Tufis
    RACAI: Meaning Affinity Models
  66. S07-1062 [bib]: Daniele Pighin; Alessandro Moschitti; Roberto Basili
    RTV: Tree Kernels for Thematic Role Classification
  67. S07-1063 [bib]: Horacio Saggion
    SHEF: Semantic Tagging and Summarization Techniques Applied to Cross-document Coreference
  68. S07-1064 [bib]: Magnus Sahlgren; Jussi Karlgren; Gunnar Eriksson
    SICS: Valence annotation based on seeds in word space
  69. S07-1065 [bib]: Yun Xing
    SRCB-WSD: Supervised Chinese Word Sense Disambiguation with Key Features
  70. S07-1066 [bib]: George Dahl; Anne-Marie Frassica; Richard Wicentowski
    SW-AG: Local Context Matching for English Lexical Substitution
  71. S07-1067 [bib]: Phil Katz; Matt Singleton; Richard Wicentowski
    SWAT-MP:The SemEval-2007 Systems for Task 5 and Task 14
  72. S07-1068 [bib]: Rob Koeling; Diana McCarthy
    Sussx: WSD using Automatically Acquired Predominant Senses
  73. S07-1069 [bib]: Kazunari Sugiyama; Manabu Okumura
    TITPI: Web People Search Task Using Semi-Supervised Clustering Approach
  74. S07-1070 [bib]: Henry Anaya-Sánchez; Aurora Pons-Porrata; Rafael Berlanga-Llavori
    TKB-UO: Using Sense Clustering for WSD
  75. S07-1071 [bib]: Saif Mohammad; Graeme Hirst; Philip Resnik
    Tor, TorMd: Distributional Profiles of Concepts for Unsupervised Word Sense Disambiguation
  76. S07-1072 [bib]: Zornitsa Kozareva; Borja Navarro; Sonia Vazquez; Andres Montoyo
    UA-ZBSA: A Headline Emotion Classification through Web Information
  77. S07-1073 [bib]: Zornitsa Kozareva; Sonia Vazquez; Andres Montoyo
    UA-ZSA: Web Page Clustering on the basis of Name Disambiguation
  78. S07-1074 [bib]: Eneko Agirre; Oier Lopez de Lacalle
    UBC-ALM: Combining k-NN with SVD for WSD
  79. S07-1075 [bib]: Eneko Agirre; Aitor Soroa
    UBC-AS: A Graph Based Unsupervised System for Induction and Classification
  80. S07-1076 [bib]: David Martinez; Timothy Baldwin; Eneko Agirre; Oier Lopez de Lacalle
    UBC-UMB: Combining unsupervised and supervised systems for all-words WSD
  81. S07-1077 [bib]: Beñat Zapirain; Eneko Agirre; Lluís Màrquez
    UBC-UPC: Sequential SRL Using Selectional Preferences. An approach with Maximum Entropy Markov Models
  82. S07-1078 [bib]: Ana Zelaia; Olatz Arregi; Basilio Sierra
    UBC-ZAS: A k-NN based Multiclassifier System to perform WSD in a Reduced Dimensional Vector Space
  83. S07-1079 [bib]: David del Valle-Agudo; César de Pablo-Sánchez; María Teresa Vicente-Díez
    UC3M_13: Disambiguation of Person Names Based on the Composition of Simple Bags of Typed Terms
  84. S07-1080 [bib]: Preslav Nakov; Marti Hearst
    UCB: System Description for SemEval Task #4
  85. S07-1081 [bib]: Fintan J. Costello
    UCD-FC: Deducing semantic relations using WordNet senses that occur frequently in a database of noun-noun compounds
  86. S07-1082 [bib]: Paul Nulty
    UCD-PN: Classification of Semantic Relations Between Nominals using WordNet and Web Counts
  87. S07-1083 [bib]: Cristina Butnariu; Tony Veale
    UCD-S1: A hybrid model for detecting semantic relations between noun pairs in text
  88. S07-1084 [bib]: Isabel Segura Bedmar; Doaa Samy; Jose L. Martinez
    UCM3: Classification of Semantic Relations between Nominals using Sequential Minimal Optimization
  89. S07-1085 [bib]: Brandon Beamer; Suma Bhat; Brant Chee; Andrew Fister; Alla Rozovskaya; Roxana Girju
    UIUC: A Knowledge-rich Approach to Identifying Semantic Relations between Nominals
  90. S07-1086 [bib]: Siddharth Patwardhan; Satanjeev Banerjee; Ted Pedersen
    UMND1: Unsupervised Word Sense Disambiguation Using Contextual Semantic Relatedness
  91. S07-1087 [bib]: Ted Pedersen
    UMND2 : SenseClusters Applied to the Sense Induction Task of Senseval-4
  92. S07-1088 [bib]: Pierpaolo Basile; Marco de Gemmis; Anna Lisa Gentile; Pasquale Lops; Giovanni Semeraro
    UNIBA: JIGSAW algorithm for Word Sense Disambiguation
  93. S07-1089 [bib]: Jeremy Ellman; Gary Emery
    UNN-WePS: Web Person Search using co-Present Names and Lexical Chains
  94. S07-1090 [bib]: Rada Mihalcea; Andras Csomai; Massimiliano Ciaramita
    UNT-Yahoo: SuperSenseLearner: Combining SenseLearner with SuperSense and other Coarse Semantic Features
  95. S07-1091 [bib]: Samer Hassan; Andras Csomai; Carmen Banea; Ravi Sinha; Rada Mihalcea
    UNT: SubFinder: Combining Knowledge Sources for Automatic Lexical Substitution
  96. S07-1092 [bib]: Ioannis Klapaftis; Suresh Manandhar
    UOY: A Hypergraph Model For Word Sense Induction & Disambiguation
  97. S07-1093 [bib]: Thierry Poibeau
    UP13: Knowledge-poor Methods (Sometimes) Perform Poorly
  98. S07-1094 [bib]: François-Régis Chaumartin
    UPAR7: A knowledge-based system for headline sentiment tagging
  99. S07-1095 [bib]: Lluís Màrquez; Lluís Padró; Mihai Surdeanu; Luis Villarejo
    UPC: Experiments with Joint Learning within SemEval Task 9
  100. S07-1096 [bib]: David Pinto; Paolo Rosso; Héctor Jiménez-Salazar
    UPV-SI: Word Sense Induction using Self Term Expansion
  101. S07-1097 [bib]: Davide Buscaldi; Paolo Rosso
    UPV-WSD : Combining different WSD Methods by means of Fuzzy Borda Voting
  102. S07-1098 [bib]: Mark Hepple; Andrea Setzer; Robert Gaizauskas
    USFD: Preliminary Exploration of Features and Classifiers for the TempEval-2007 Task
  103. S07-1099 [bib]: Lucia Specia; Maria das Graças; Volpe Nunes; Ashwin Srinivasan; Ganesh Ramakrishnan
    USP-IBM-1 and USP-IBM-2: The ILP-based Systems for Lexical Sample WSD in SemEval-2007
  104. S07-1100 [bib]: Tobias Hawker
    USYD: WSD and Lexical Substitution using the Web1T corpus
  105. S07-1101 [bib]: Cristina Nicolae; Gabriel Nicolae; Sanda Harabagiu
    UTD-HLT-CG: Semantic Architecture for Metonymy Resolution and Classification of Nominal Relations
  106. S07-1102 [bib]: Cosmin Adrian Bejan; Chris Hathaway
    UTD-SRL: A Pipeline Architecture for Extracting Frame Semantic Structures
  107. S07-1103 [bib]: Eiji Aramaki; Takeshi Imai; Kengo Miyo; Kazuhiko Ohe
    UTH: SVM-based Semantic Relation Classification using Physical Sizes
  108. S07-1104 [bib]: Krisztian Balog; Leif Azzopardi; Maarten de Rijke
    UVA: Language Modeling Techniques for Web People Search
  109. S07-1105 [bib]: Willem Robert van Hage; Sophia Katrenko
    UVAVU: WordNet Similarity and Lexical Patterns for Semantic Relation Classification
  110. S07-1106 [bib]: Yllias Chali; Shafiq R. Joty
    UofL: Word Sense Disambiguation Using Lexical Cohesion
  111. S07-1107 [bib]: José Iria; Lei Xia; Ziqi Zhang
    WIT: Web People Search Disambiguation using Random Walks
  112. S07-1108 [bib]: Georgiana Puscasu
    WVALI: Temporal Relation Identification by Syntactico-Semantic Analysis
  113. S07-1109 [bib]: Brun Caroline; Ehrmann Maud; Jacquet Guillaume
    XRCE-M: A Hybrid System for Named Entity Metonymy Resolution
  114. S07-1110 [bib]: Caroline Hagège; Xavier Tannier
    XRCE-T: XIP Temporal Module for TempEval campaign.
  115. A Broader Perspective on Multiword Expressions, ACL 2007 Workshop, June 28, 2007, Prague, Czech Republic (Endorsed by the ACL Special Interest Group on the Lexicon)

    To Meeting Home Page

  116. Proceedings of the Fourth ACL-SIGSEM Workshop on Prepositions

  117. W07-16 [bib]: Entire Volume
  118. W07-1600 [bib]: Front Matter

  119. W07-1601 [bib]: Christian Hying
    A Corpus-Based Analysis of Geometric Constraints on Projective Prepositions
  120. W07-1602 [bib]: Aidan Furlan; Timothy Baldwin; Alex Klippel
    Landmark Classification for Route Directions
  121. W07-1603 [bib]: Karën Fort; Bruno Guillaume
    PrepLex: A Lexicon of French Prepositions for Parsing
  122. W07-1604 [bib]: Martin Chodorow; Joel Tetreault; Na-Rae Han
    Detection of Grammatical Errors Involving Prepositions
  123. W07-1605 [bib]: Florian Dömges; Tibor Kiss; Antje Müller; Claudia Roch
    Measuring the Productivity of Determinerless PPs
  124. W07-1606 [bib]: Tommaso Caselli; Valeria Quochi
    Inferring the Semantics of Temporal Prepositions in Italian
  125. W07-1607 [bib]: Rachele De Felice; Stephen Pulman
    Automatically Acquiring Models of Preposition Use
  126. W07-1608 [bib]: Samar Husain; Dipti Misra Sharma; Manohar Reddy
    Simple Preposition Correspondence: A Problem in English to Indian Language Machine Translation
  127. Proceedings of the Second Workshop on TextGraphs: Graph-Based Algorithms for Natural Language Processing

  128. W07-02 [bib]: Entire Volume
  129. W07-0200 [bib]: Front Matter

  130. W07-0201 [bib]: Torsten Zesch; Iryna Gurevych
    Analysis of the Wikipedia Category Graph for NLP Applications
  131. W07-0202 [bib]: Hans Friedrich Witschel
    Multi-level Association Graphs - A New Graph-Based Model for Information Retrieval
  132. W07-0203 [bib]: Daniel S. Leite; Lucia H. M. Rino; Thiago A. S. Pardo; Maria das Graças V. Nunes
    Extractive Automatic Summarization: Does more Linguistic Knowledge Make a Difference?
  133. W07-0204 [bib]: Ziheng Lin; Min-Yen Kan
    Timestamped Graphs: Evolutionary Models of Text for Multi-Document Summarization
  134. W07-0205 [bib]: Bruno Jedynak; Damianos Karakos
    Unigram Language Models using Diffusion Smoothing over Graphs
  135. W07-0206 [bib]: Kuzman Ganchev; Fernando Pereira
    Transductive Structured Classification through Constrained Min-Cuts
  136. W07-0207 [bib]: Andrew M Olney
    Latent Semantic Grammar Induction: Context, Projectivity, and Prior Distributions
  137. W07-0208 [bib]: Valentin Jijkoun; Maarten de Rijke
    Learning to Transform Linguistic Graphs
  138. W07-0209 [bib]: Calkin S. Montero; Kenji Araki
    Semi-supervised Algorithm for Human-Computer Dialogue Mining
  139. W07-0210 [bib]: Ramon Ferrer i Cancho; Alexander Mehler; Olga Pustylnikov; Albert Diaz-Guilera
    Correlations in the Organization of Large-Scale Syntactic Dependency Networks
  140. W07-0211 [bib]: Daniel Micol; Óscar Ferrández; Rafael Muñoz; Manuel Palomar
    DLSITE-2: Semantic Similarity Based on Syntactic Dependency Trees Applied to Textual Entailment
  141. W07-0212 [bib]: Monojit Choudhury; Markose Thomas; Animesh Mukherjee; Anupam Basu; Niloy Ganguly
    How Difficult is it to Develop a Perfect Spell-checker? A Cross-Linguistic Analysis through Complex Network Approach
  142. W07-0213 [bib]: Victor Kapustin; Anna Jamsen
    Vertex Degree Distribution for the Graph of Word Co-Occurrences in Russian


  1. Proceedings of the Workshop on Linguistic Distances

  2. W06-11 [bib]: Entire Volume
  3. W06-1100 [bib]: Front Matter

  4. W06-1101 [bib]: John Nerbonne; Erhard Hinrichs
    Linguistic Distances
  5. W06-1102 [bib]: Ido Dagan
    Semantic Similarity: What for?
  6. W06-1103 [bib]: Claude St-Jacques; Caroline Barrière
    Similarity Judgments: Philosophical, Psychological and Mathematical Investigations
  7. W06-1104 [bib]: Torsten Zesch; Iryna Gurevych
    Automatically Creating Datasets for Measures of Semantic Relatedness
  8. W06-1105 [bib]: Ben Hachey
    Comparison of Similarity Models for the Relation Discovery Task
  9. W06-1106 [bib]: Rebecca Dridan; Francis Bond
    Sentence Comparison Using Robust Minimal Recursion Semantics and an Ontology
  10. W06-1107 [bib]: Grzegorz Kondrak; Tarek Sherif
    Evaluation of Several Phonetic Similarity Algorithms on the Task of Cognate Identification
  11. W06-1108 [bib]: Wilbert Heeringa; Peter Kleiweg; Charlotte Gooskens; John Nerbonne
    Evaluation of String Distance Algorithms for Dialectology
  12. W06-1109 [bib]: Anil Kumar Singh
    Study of Some Distance Measures for Language and Encoding Identification
  13. W06-1110 [bib]: Sandra Kübler
    Towards Case-Based Parsing: Are Chunks Reliable Indicators for Syntax Trees?
  14. W06-1111 [bib]: John Nerbonne; Wybo Wiersma
    A Measure of Aggregate Syntactic Distance
  15. W06-1112 [bib]: Petr Homola; Vladislav Kuboň
    A Structural Similarity Measure
  16. W06-1113 [bib]: Martin Emms
    Variants of Tree Similarity in a Question Answering Task
  17. W06-1114 [bib]: Anca Dinu; Liviu P. Dinu
    Total Rank Distance and Scaled Total Rank Distance: Two Alternative Metrics in Computational Linguistics
  18. Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties

  19. W06-12 [bib]: Entire Volume
  20. W06-1200 [bib]: Front Matter

  21. W06-1201 [bib]: Timothy Baldwin
    Compositionality and Multiword Expressions: Six of One, Half a Dozen of the Other?
  22. W06-1202 [bib]: Scott S.L. Piao; Paul Rayson; Olga Mudraya; Andrew Wilson; Roger Garside
    Measuring MWE Compositionality Using Semantic Annotation
  23. W06-1203 [bib]: Graham Katz; Eugenie Giesbrecht
    Automatic Identification of Non-Compositional Multi-Word Expressions using Latent Semantic Analysis
  24. W06-1204 [bib]: Sriram Venkatapathy; Aravind K. Joshi
    Using Information about Multi-word Expressions for the Word-Alignment Task
  25. W06-1205 [bib]: Amitabha Mukerjee; Ankit Soni; Achla M Raina
    Detecting Complex Predicates in Hindi using POS Projection across Parallel Corpora
  26. W06-1206 [bib]: Yi Zhang; Valia Kordoni; Aline Villavicencio; Marco Idiart
    Automated Multiword Expression Prediction for Grammar Engineering
  27. W06-1207 [bib]: Paul Cook; Suzanne Stevenson
    Classifying Particle Semantics in English Verb-Particle Constructions
  28. W06-1208 [bib]: Jeremy Nicholson; Timothy Baldwin
    Interpretation of Compound Nominalisations using Corpus and Web Statistics
  29. Proceedings of the Workshop on Making Sense of Sense: Bringing Psycholinguistics and Computational Linguistics Together

  30. W06-2500: Front Matter

  31. W06-2501: Siddharth Patwardhan; Ted Pedersen
    Using WordNet-based Context Vectors to Estimate the Semantic Relatedness of Concepts
  32. W06-2502: Guergana Savova; Terry Therneau; Christopher Chute
    Cluster Stopping Rules for Word Sense Discrimination
  33. W06-2503: Diana McCarthy
    Relating WordNet Senses for Word Sense Disambiguation
  34. W06-2504: Yves Peirsman
    Whats in a Name? The Automatic Recognition of Metonymical Location Names
  35. W06-2505: Lucia Specia; Maria das GraçasVolpe Nunes; Mark Stevenson; Gabriela Castelo Branco Ribeiro
    Multilingual versus Monolingual WSD
  36. W06-2506: Alissa Melinger; Sabine Schulte im Walde; Andrea Weber
    Characterizing Response Types and Revealing Noun Ambiguity in German Association Norms
  37. Proceedings of the Third ACL-SIGSEM Workshop on Prepositions

  38. W06-2100: Front Matter

  39. W06-2101: Fintan J. Costello; John D. Kelleher
    Spatial Prepositions in Context: The Semantics of near in the Presence of Distractor Objects
  40. W06-2102: Iwona Knaś
    Polish Equivalents of Spatial at
  41. W06-2103: Beata Trawiński
    A Quantitative Approach to Preposition-Pronoun Contraction in Polish
  42. W06-2104: Sander Lestrade
    Marked Adpositions
  43. W06-2105: Sven Hartrumpf; Hermann Helbig; Rainer Osswald
    Semantic Interpretation of Prepositions for NLP Applications
  44. W06-2106: Kenneth C. Litkowski; Orin Hargraves
    Coverage and Inheritance in The Preposition Project
  45. W06-2107: Tine Lassen
    An Ontology-based View on Prepositional Senses
  46. W06-2108: Asanee Kawtrakul; Mukda Suktarachan; Bali Ranaivo-Malancon; Pek Kuan; Achla Raina; Sudeshna Sarkar; Alda Mari; Sina Zarriess; Elixabete Murguia; Patrick Saint-Dizier
    A Conceptual Analysis of the Notion of Instrumentality via a Multilingual Analysis
  47. W06-2109: Ines Rehbein; Josef van Genabith
    German Particle Verbs and Pleonastic Prepositions
  48. W06-2110: Su Nam Kim; Timothy Baldwin
    Automatic Identification of English Verb Particle Constructions using Linguistic Features
  49. W06-2111: Frank Van Eynde
    On the Prepositions which Introduce an Adjunct of Duration
  50. W06-2112: Martin Volk
    How Bad is the Problem of PP-Attachment? A Comparison of English, German and Swedish
  51. W06-2113: Sudip Kumar Naskar; Sivaji Bandyopadhyayn
    Handling of Prepositions in English to Bengali Machine Translation
  52. Proceedings of the Workshop on Multi-word-expressions in a multilingual context

  53. W06-2400: Front Matter

  54. W06-2401: Iñaki Alegria; Nerea Ezeiza; Izaskun Fernandez
    Named Entities Translation Based on Comparable Corpora
  55. W06-2402: Patrik Lambert; Rafael Banchs
    Grouping Multi-word Expressions According to Part-Of-Speech in Statistical Machine Translation
  56. W06-2403: Scott S.L. Piao; Guangfan Sun; Paul Rayson; Qi Yuan
    Automatic Extraction of Chinese Multiword Expressions with a Statistical Tool
  57. W06-2404: Masatoshi Tsuchiya; Takao Shime; Toshihiro Takagi; Takehito Utsuro; Kiyotaka Uchimoto; Suguru Matsuyoshi; Satoshi Sato; Seiichi Nakagawa
    Chunking Japanese Compound Functional Expressions by Machine Learning
  58. W06-2405: Begoña Villada Moirón; Jörg Tiedemann
    Identifying idiomatic expressions using automatic word-alignment
  59. W06-2406: Julia Ritz
    Collocation Extraction: Needs, Feeds and Results of an Extraction System for German
  60. W06-2407: Yee Fan Tan; Min-Yen Kan; Hang Cui
    Extending corpus-based identification of light verb constructions using a supervised learning framework
  61. W06-2408: Heiki-Jaan Kaalep; Kadri Muischnek
    Multi-word verbs in a flective language: the case of Estonian
  62. W06-2409: Dennis Spohr; Ulrich Heid
    Modeling Monolingual and Bilingual Collocation Dictionaries in Description Logics
  63. W06-2410: Tamás Váradi
    Multiword Units in an MT Lexicon


  1. Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition

  2. W05-10 [bib]: Entire Volume
  3. W05-1000 [bib]: Front Matter

  4. W05-1001 [bib]: Oi Yee Kwong; Benjamin K. Tsou
    Data Homogeneity and Semantic Role Tagging in Chinese
  5. W05-1002 [bib]: Alessandro Moschitti; Roberto Basili
    Verb Subcategorization Kernels for Automatic Semantic Labeling
  6. W05-1003 [bib]: Massimo Poesio; Abdulrahman Almuhareb
    Identifying Concept Attributes Using a Classifier
  7. W05-1004 [bib]: Philipp Cimiano; Johanna Wenderoth
    Automatically Learning Qualia Structures from the Web
  8. W05-1005 [bib]: Afsaneh Fazly; Ryan North; Suzanne Stevenson
    Automatically Distinguishing Literal and Figurative Usages of Highly Polysemous Verbs
  9. W05-1006 [bib]: Dominic Widdows; Beate Dorow
    Automatic Extraction of Idioms using Graph Analysis and Asymmetric Lexicosyntactic Patterns
  10. W05-1007 [bib]: Rebecca Green; Bonnie Dorr
    Frame Semantic Enhancement of Lexical-Semantic Resources
  11. W05-1008 [bib]: Timothy Baldwin
    Bootstrapping Deep Lexical Resources: Resources for Courses
  12. W05-1009 [bib]: Gemma Boleda; Toni Badia; Sabine Schulte im Walde
    Morphology vs. Syntax in Adjective Class Acquisition
  13. W05-1010 [bib]: Hiroshi Echizen-ya; Kenji Araki; Yoshio Momouchi
    Automatic Acquisition of Bilingual Rules for Extraction of Bilingual Word Pairs from Parallel Corpora
  14. W05-1011 [bib]: James Gorman; James Curran
    Approximate Searching for Distributional Similarity
  15. Third International Workshop on Generative Approaches to the Lexicon, Geneva, Switzerland, May 19-21, 2005

  16. Applications of GermaNet II: Workshop of the GLDV AK Lexikographie

    To Meeting Home Page

  17. Interdisciplinary Workshop on the Identification and Representation of Verb Features and Verb Classes : Saarland University, Saarbrücken, Germany, February 28 - March 1, 2005

    To Meeting Home Page


  1. Workshop on Lexical Resources and the Web for Word Sense Disambiguation: IBERAMIA 2004, Tonantzintla - Puebla México, 22 November 2004

  2. Third International Workshop on Dictionary Writing Systems (DWS 2004)'

    To Meeting Home Page

  3. Proceeedings of the Workshop on NLP and XML (NLPXML-2004): RDF/RDFS and OWL in Language Technology

  4. W04-0600: Front Matter

  5. W04-0601 [bib]: Mary Ellen Foster; Michael White
    Techniques for Text Planning with XSLT
  6. W04-0602 [bib]: Peter Wittenburg; Daan Broeder; Paul Buitelaar
    Towards Metadata Interoperability
  7. W04-0603 [bib]: Xi Guo; Mark Chaudhary; Christopher Dozier; Yogi Arumainayagam; Venkatesan Subramanian
    A Web Application using RDF/RDFS for Metadata Navigation
  8. W04-0604 [bib]: Gary Simons; William Lewis; Scott Farrar; Terence Langendoen; Brian Fitzsimons; Hector Gonzalez
    The Semantics of Markup: Mapping Legacy Markup Schemas to a Common Semantics
  9. W04-0605 [bib]: Max Froumentin
    Extensible MultiModal Annotation (EMMA)
  10. W04-0606 [bib]: Pablo Beltrán-Ferruz; P González-Calero; P Gervás
    Converting Mikrokosmos Frames into Description Logics
  11. W04-0607 [bib]: David Schlangen; Manfred Stede; Elena Paslaru Bontas
    Feeding OWL: Extracting and Representing the Content of Pathology Reports
  12. W04-0608 [bib]: Erica Meena; Ashwani Kumar; Laurent Romary
    An Extensible Framework for Efficient Document Management using RDF and OWL
  13. W04-0609 [bib]: Dominique Estival; Chris Nowak; Andrew Zschorn
    Towards Ontology-based Natural Language Processing
  14. Proceedings of SENSEVAL-3, the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text

  15. W04-0800: Front Matter

  16. W04-0801 [bib]: Eneko Agirre; Itziar Aldabe; Mikel Lersundi; David Martínez; Eli Pociello; Larraitz Uria
    The Basque lexical-sample task
  17. W04-0802 [bib]: Timothy Chklovski; Rada Mihalcea; Ted Pedersen; Amruta Purandare
    The Senseval-3 Multilingual English-­Hindi lexical sample task
  18. W04-0803 [bib]: Ken Litkowski
    Senseval-3 task: Automatic labeling of semantic roles
  19. W04-0804 [bib]: Ken Litkowski
    Senseval-3 task: Word Sense Disambiguation of WordNet glosses
  20. W04-0805 [bib]: Bernardo Magnini; Danilo Giampiccolo; Alessandro Vallin
    The Italian lexical sample task at Senseval-3
  21. W04-0806 [bib]: Lluis Màrquez; Mariona Taulé; Antonia Martí; Núria Artigas; Mar García; Francis Real; Dani Ferrés
    Senseval-3: The Spanish lexical sample task
  22. W04-0807 [bib]: Rada Mihalcea; Timothy Chklovski; Adam Kilgarriff
    The Senseval-3 English lexical sample task
  23. W04-0808 [bib]: Rada Mihalcea; Vivi Năstase; Timothy Chklovski; Doina Tătar; Dan Tufiş; Florentina Hristea
    An evaluation exercise for Romanian Word Sense Disambiguation
  24. W04-0809 [bib]: Judita Preiss; Anna Korhonen
    WSD for subcategorization acquisition task description
  25. W04-0810 [bib]: Vasile Rus
    A first evaluation of logic form identification systems
  26. W04-0811 [bib]: Benjamin Snyder; Martha Palmer
    The English all-words task
  27. W04-0812 [bib]: Marisa Ulivieri; Elisabetta Guazzini; Francesca Bertagna; Nicoletta Calzolari
    Senseval-3: The Italian all-words task
  28. W04-0813 [bib]: Eneko Agirre; David Martínez
    The Basque Country University system: English and Basque tasks
  29. W04-0814 [bib]: David Ahn; Sisay Fissaha; Valentin Jijkoun; Maarten De Rijke
    The University of Amsterdam at Senseval-3: Semantic roles and Logic forms
  30. W04-0815 [bib]: Stephen Anthony; Jon Patrick
    Dependency based logical form transformations
  31. W04-0816 [bib]: Javier Artiles; Anselmo Penas; Felisa Verdejo
    Word Sense Disambiguation based on term to term similarity in a context space
  32. W04-0817 [bib]: Ulrike Baldewein; Katrin Erk; Sebastian Padó; Detlef Prescher
    Semantic role labelling with similarity-based generalization using EM-based clustering
  33. W04-0818 [bib]: Samuel Bayer; John Burger; John Greiff; Ben Wellner
    The MITRE logical form generation system
  34. W04-0819 [bib]: Cosmin Adrian Bejan; Alessandro Moschitti; Paul Morărescu; Gabriel Nicolae; Sanda Harabagiu
    Semantic parsing based on FrameNet
  35. W04-0820 [bib]: Davide Buscaldi; Paolo Rosso; Francesco Masulli
    The upv-unige-CIAOSENSO WSD system
  36. W04-0821 [bib]: Clara Cabezas; Indrajit Bhattacharya; Philip Resnik
    The University of Maryland Senseval-3 system descriptions
  37. W04-0822 [bib]: Marine Carpuat; Weifeng Su; Dekai Wu
    Augmenting ensemble classification for Word Sense Disambiguation with a kernel PCA model
  38. W04-0823 [bib]: Mauro Castillo; Francis Real; Jordi Asterias; German Rigau
    The TALP systems for disambiguating WordNet glosses
  39. W04-0824 [bib]: Massimiliano Ciaramita; Mark Johnson
    Multi-component Word Sense Disambiguation
  40. W04-0825 [bib]: Eric Crestan
    Contextual semantics for WSD
  41. W04-0826 [bib]: András Csomai
    UBBNBC WSD system description
  42. W04-0827 [bib]: Bart Decadt; Véronique Hoste; Walter Daelemans; Antal Van den Bosch
    GAMBL, genetic algorithm optimization of memory-based WSD
  43. W04-0828 [bib]: Gerard Escudero; Lluis Màrquez; German Rigau
    TALP system for the English lexical sample task
  44. W04-0829 [bib]: David Férnandez-Amorós
    WSD based on mutual information and syntactic patterns
  45. W04-0830 [bib]: Manuel García-Vega; Miguel García-Cumbreras; M. Teresa Martín-Valdivia; L. Alfonso Urena-López
    The University of Jaén Word Sense Disambiguation system
  46. W04-0831 [bib]: Cristian Grozea
    Finding optimal parameter settings for high performance word sense disambiguation
  47. W04-0832 [bib]: Namhee Kwon; Michael Fleischman; Eduard Hovy
    Senseval automatic labeling of semantic roles using Maximum Entropy models
  48. W04-0833 [bib]: Abolfazl Lamjiri; Osama El Demerdash; Leila Kosseim
    Simple features for statistical Word Sense Disambiguation
  49. W04-0834 [bib]: Yoong Keok Lee; Hwee Tou Ng; Tee Kiah Chia
    Supervised Word Sense Disambiguation with Support Vector Machines and multiple knowledge sources
  50. W04-0835 [bib]: Ken Litkowski
    Explorations in disambiguation using XML text representation
  51. W04-0836 [bib]: Lluis Màrquez; Mariona Taulé; Antonia Martí; Mar García; Francis Real; Dani Ferrés
    Senseval-3: The Catalan lexical sample task
  52. W04-0837 [bib]: Diana McCarthy; Rob Koeling; Julie Weeds; John Carroll
    Using automatically acquired predominant senses for Word Sense Disambiguation
  53. W04-0838 [bib]: Rada Mihalcea; Ehsanul Faruque
    SenseLearner: Minimally supervised Word Sense Disambiguation for all words in open text
  54. W04-0839 [bib]: Saif Mohammad; Ted Pedersen
    Complementarity of lexical and simple syntactic features: The SyntaLex approach to Senseval-3
  55. W04-0840 [bib]: Altaf Mohammed; Dan Moldovan; Paul Parker
    Senseval-3 logic forms: A system and possible improvements
  56. W04-0841 [bib]: Dan Moldovan; Roxana Gîrju; Marian Olteanu; Ovidiu Fortu
    SVM classification of FrameNet semantic roles
  57. W04-0842 [bib]: Antonio Molina; Ferran Pla; Encarna Segarra
    WSD system based on specialized Hidden Markov Model (upv-shmm-eaw)
  58. W04-0843 [bib]: Grégoire Moreau de Montcheuil; Marc El-Bèze; Boxing Chen; Olivier Kraif
    Using a Word Sense Disambiguation system for translation disambiguation: the LIA-LIDILEM team experiment
  59. W04-0844 [bib]: Roberto Navigli; Paola Velardi
    Structural semantic interconnection: a knowledge-based approach to Word Sense Disambiguation
  60. W04-0845 [bib]: Grace Ngai; Dekai Wu; Marine Carpuat; Chi-Shing Wang; Chi-Yung Wang
    Semantic role labeling with Boosting, SVMs, Maximum Entropy, SNOW, and Decision Lists
  61. W04-0846 [bib]: Cheng Niu; Wei Li; Rohini K. Srihari; Huifeng Li; L. Crist
    Context clustering for Word Sense Disambiguation based on modeling pairwise context similarities
  62. W04-0847 [bib]: Zheng-Yu Niu; Dong-Hong Ji; Chew-Lim Tan
    Optimizing feature set for Chinese Word Sense Disambiguation
  63. W04-0848 [bib]: Adrian Novischi; Dan Moldovan; Paul Parker; Adriana Bădulescu; Bob Hauser
    LCC's WSD systems for Senseval-3
  64. W04-0849 [bib]: Tom O'Hara; Rebecca Bruce; Jeff Donner; Janyce Wiebe
    Class-based collocations for Word Sense Disambiguation
  65. W04-0850 [bib]: Ted Pedersen
    The Duluth lexical sample systems in Senseval-3
  66. W04-0851 [bib]: Marius Popescu
    Regularized Least-Squares classification for Word Sense Disambiguation
  67. W04-0852 [bib]: Judita Preiss
    Probabilistic WSD in Senseval-3
  68. W04-0853 [bib]: Ganesh Ramakrishnan; B. Prithviraj; Pushpak Bhattacharya
    A gloss-centered algorithm for disambiguation
  69. W04-0854 [bib]: Hee-Cheol Seo; Hae-Chang Rim; Soo-Hong Kim
    KUNLP system in Senseval-3
  70. W04-0855 [bib]: Gabriela Şerban; Doina Tătar
    UBB system at Senseval-3
  71. W04-0856 [bib]: Carlo Strapparava; Alfio Gliozzo; Claudiu Giuliano
    Pattern abstraction and term similarity for Word Sense Disambiguation: IRST at Senseval-3
  72. W04-0857 [bib]: Cynthia Thompson; Siddharth Patwardhan; Carolin Arnold
    Generative models for semantic role labeling
  73. W04-0858 [bib]: Peter Turney
    Word Sense Disambiguation by Web mining for word co-occurrence probabilities
  74. W04-0859 [bib]: Sonia Vázquez; Rafael Romero; Armando Suárez; Andrés Montoyo; Iulia Nica; Antonia Martí
    The University of Alicante systems at Senseval-3
  75. W04-0860 [bib]: Sonia Vázquez; Rafael Romero; Armando Suárez; Andrés Montoyo; Manuel García; M. Teresa Martín; M. Ángel García; L. Alfonso Urena
    The R2D2 team at Senseval-3
  76. W04-0861 [bib]: Luís Villarejo; Lluis Màrquez; Eneko Agirre; David Martínez; Bernardo Magnini; Carlo Strapparava; Diana McCarthy; Andrés Montoyo; Armando Suárez
    The "Meaning" system on the English all-words task
  77. W04-0862 [bib]: Richard Wicentowski; Emily Thomforde; Adrian Packel
    The Swarthmore College Senseval-3 system
  78. W04-0863 [bib]: Richard Wicentowski; Grace Ngai; Dekai Wu; Marine Carpuat; Emily Thomforde; Adrian Packel
    Joining forces to resolve lexical ambiguity: East meets West in Barcelona
  79. W04-0864 [bib]: Deniz Yuret
    Some experiments with a Naive Bayes WSD system
  80. Proceedings of the 2nd Workshop on Text Meaning and Interpretation

  81. W04-0900: Front Matter

  82. W04-0901 [bib]: Harold Paredes-Frigolett
    Interpretation in a cognitive architecture
  83. W04-0902 [bib]: Iddo Lev; Bill MacCartney; Christopher Manning; Roger Levy
    Solving logic puzzles: From robust processing to precise semantics
  84. W04-0903 [bib]: Ronald Winnemöller
    Constructing text sense representations
  85. W04-0904 [bib]: Marjorie McShane; Margalit Zabludowski; Sergei Nirenburg; Stephen Beale
    OntoSem and SIMPLE: Two multi-lingual world views
  86. W04-0905 [bib]: Sergei Nirenburg; Stephen Beale; Marjorie McShane
    Evaluating the performance of the OntoSem semantic analyzer
  87. W04-0906 [bib]: Stephen Beale; Benoit Lavoie; Marjorie McShane; Sergei Nirenburg; Tanya Korelsky
    Question answering using ontological semantics
  88. W04-0907 [bib]: Timothy Baldwin
    Making sense of Japanese relative clause constructions
  89. W04-0908 [bib]: Richard Johansson; David Williams; Anders Berglund; Pierre Nugues
    Carsim: A system to visualize written road accident reports as animated 3D scenes
  90. W04-0909 [bib]: Rebecca Green; Bonnie Dorr
    Inducing a semantic frame lexicon from WordNet data
  91. W04-0910 [bib]: Claire Gardent; Marilisa Amoia; Evelyne Jacquey
    Paraphrastic grammars
  92. W04-0911 [bib]: Magdalena Wolska; Ivana Kruijff-Korbayová; Helmut Horacek
    Lexical-semantic interpretation of language input in mathematical dialogs
  93. W04-0912 [bib]: Barbara Sonnenhauser
    Underspecification of `meaning': The case of Russian imperfective aspect
  94. W04-0913 [bib]: Rodolfo Delmonte
    Text Understanding with GETARUNS for Q/A and Summarization
  95. W04-0914 [bib]: Victor Raskin; Christian F. Hempelmann; Katrina E. Triezenberg
    Semantic forensics: An application of ontological semantics to information assurance
  96. W04-0915 [bib]: Aurélian Max
    Interpreting communicative goals in constrained domains using generation and interactive negotiation
  97. Proceedings of the Workshop on Multiword Expressions: Integrating Processing

  98. W04-0400: Front Matter

  99. W04-0401 [bib]: Suzanne Stevenson; Afsaneh Fazly; Ryan North
    Statistical Measures of the Semi-Productivity of Light Verb Constructions
  100. W04-0402 [bib]: Atsushi Fujita; Kentaro Furihata; Kentaro Inui; Yuji Matsumoto; Koichi Takeuchi
    Paraphrasing of Japanese Light-verb Constructions Based on Lexical Conceptual Structure
  101. W04-0403 [bib]: Serge Sharoff
    What is at Stake: a Case Study of Russian Expressions Starting with a Preposition
  102. W04-0404 [bib]: Timothy Baldwin; Takaaki Tanaka
    Translation by Machine of Complex Nominals: Getting it Right
  103. W04-0405 [bib]: Kosho Shudo; Toshifumi Tanabe; Masahito Takahashi; Kenji Yoshimura
    MWEs as Non-propositional Content Indicators
  104. W04-0406 [bib]: Shailaja Venkatsubramanyan; Jose Perez-Carballo
    Multiword Expression Filtering for Building Knowledge
  105. W04-0407 [bib]: Iñaki Alegria; Olatz Ansa; Xabier Artola; Nerea Ezeiza; Koldo Gojenola; Ruben Urizar
    Representation and Treatment of Multiword Expressions in Basque
  106. W04-0408 [bib]: Ralph Debusmann
    Multiword Expressions as Dependency Subgraphs
  107. W04-0409 [bib]: Kemal Oflazer; Özlem Çetinoğlu; Bilge Say
    Integrating Morphology with Multi-word Expression Processing in Turkish
  108. W04-0410 [bib]: Jorge Baptista; Anabela Correia; Graça Fernandes
    Frozen Sentences of Portuguese: Formal Descriptions for NLP
  109. W04-0411 [bib]: Aline Villavicencio; Ann Copestake; Benjamin Waldron; Fabre Lambeau
    Lexical Encoding of MWEs
  110. W04-0412 [bib]: Antoine Doucet; Helana Ahonen-Myka
    Non-Contiguous Word Sequences for Information Retrieval
  111. W04-0413 [bib]: Adam Meyers; Ruth Reeves; Catherine Macleod
    NP-External Arguments: A Study of Argument Sharing in English
  112. 11th EURALEX International Congress

    To Meeting Home Page

  113. Building Lexical Resources from Semantically Annotated Corpora

  114. OntoLex 2004: Ontologies and Lexical Resources in Distributed Environments

    To Meeting Home Page

  115. Beyond Named Entity Recognition: Semantic labelling for NLP tasks

    To Meeting Home Page


  1. Proceedings of the ACL 2003 Workshop on Multiword Expressions: Analysis, Acquisition and Treatment

  2. W03-1800: Front Matter

  3. W03-1801 [bib]: James Dowdall; Fabio Rinaldi; Fidelia Ibekwe-SanJuan; Eric SanJuan
    Complex Structuring of Term Variants for Question Answering
  4. W03-1802 [bib]: Béatrice Daille
    Conceptual Structuring through Term Variations
  5. W03-1803 [bib]: Takaaki Tanaka; Timothy Baldwin
    Noun-Noun Compound Machine Translation A Feasibility Study on Shallow Processing
  6. W03-1804 [bib]: Alexandre Gil; Gaël Dias
    Using Masks, Suffix Array-based Data Structures and Multidimensional Arrays to Compute Positional Ngram Statistics from Corpora
  7. W03-1805 [bib]: Takashi Tomokiyo; Matthew Hurst
    A Language Model Approach to Keyphrase Extraction
  8. W03-1806 [bib]: Gaël Dias
    Multiword Unit Hybrid Extraction
  9. W03-1807 [bib]: Scott S. L. Piao; Paul Rayson; Dawn Archer; Andrew Wilson; Tony McEnery
    Extracting Multiword Expressions with A Semantic Tagger
  10. W03-1808 [bib]: Aline Villavicencio
    Verb-Particle Constructions and Lexical Resources
  11. W03-1809 [bib]: Colin Bannard; Timothy Baldwin; Alex Lascarides
    A Statistical Approach to the Semantics of Verb-Particles
  12. W03-1810 [bib]: Diana McCarthy; Bill Keller; John Carroll
    Detecting a Continuum of Compositionality in Phrasal Verbs
  13. W03-1811 [bib]: Kiyoko Uchiyama; Shun Ishizaki
    A Disambiguation Method for Japanese Compound Verbs
  14. W03-1812 [bib]: Timothy Baldwin; Colin Bannard; Takaaki Tanaka; Dominic Widdows
    An Empirical Model of Multiword Expression Decomposability
  15. W03-1813 [bib]: Beata Trawinski
    Licensing Complex Prepositions via Lexical Constraints
  16. Proceedings of the ACL 2003 Workshop on the Lexicon and Figurative Language

  17. W03-1400: Front Matter

  18. W03-1401 [bib]: Wim Peters
    Metonymy as a Cross-lingual Phenomenon
  19. W03-1402 [bib]: Antonietta Alonge; Margherita Castelli
    Encoding Information on Metaphoric Expressions in WordNet-like Resources
  20. W03-1403 [bib]: Birte Lönnneker
    Is There a Way to Represent Metaphors in WordNets? Insights from the Hamburg Metaphor Database
  21. W03-1404 [bib]: Tony Veale
    Systematicity and the Lexicon in Creative Metaphor
  22. W03-1405 [bib]: Kathleen Ahrens; Siaw Fong Chung; Chu-Ren Huang
    Conceptual Metaphors: Ontology-based Representation and Corpora Driven Mapping Principles
  23. W03-1406 [bib]: Sheila R. Glasbey
    Let's Paint the Town Red for a Few Hours: Composition of Aspect in Idioms
  24. W03-1407 [bib]: Yukiko Sasaki Alam
    The Organization of the Lexicon: The Polysemy of Grow and Disambiguation
  25. W03-1408 [bib]: Chiaki Ohkura
    The Semantics of Metaphor in the Game Theoretic Semantics with at Least Two Coordination Equilibria
  26. Proceedings of the HLT-NAACL 2003 Workshop on Learning Word Meaning from Non-Linguistic Data

  27. W03-0600: Front Matter

  28. W03-0601 [bib]: Kobus Barnard; Matthew Johnson; David Forsyth
    Word Sense Disambiguation with Pictures
  29. W03-0602 [bib]: Jaety Edwards; Ryan White; David Forsyth
    Words and Pictures in the News
  30. W03-0603 [bib]: Peter Gorniak; Deb Roy
    Understanding Complex Visually Referring Utterances
  31. W03-0604 [bib]: Sven Wachsmuth; Suzanne Stevenson; Sven Dickinson
    Towards a Framework for Learning Structured Shape Models from Text-Annotated Images
  32. W03-0605 [bib]: Keith Bonawitz; Anthony Kim; Seth Tardiff
    An Architecture for Word Learning using Bidirectional Multimodal Structural Alignment
  33. W03-0606 [bib]: Peter Ford Dominey; Thomas Voegtlin
    Learning Word Meaning and Grammatical Constructions from Narrated Video Events
  34. W03-0607 [bib]: Brian E. Pangburn; S. Sitharama Iyengar; Robert C. Mathews; Jonathan P. Ayo
    EBLA: A Perceptually Grounded Model of Language Acquisition
  35. W03-0608 [bib]: Peter Carbonetto; Nando de Freitas
    Why can't José read? The problem of learning semantic associations in a robot environment
  36. W03-0609 [bib]: Tim Oates
    Grounding Word Meanings in Sensor Data: Dealing with Referential Uncertainty
  37. W03-0610 [bib]: Deb Roy; Kai-Yuh Hsiao; Nikolaos Mavridis
    Conversational Robots: Building Blocks for Grounding Word Meaning
  38. W03-0611 [bib]: Ehud Reiter; Somayajulu Sripada
    Learning the Meaning and Usage of Time Phrases from a Parallel Text-Data Corpus
  39. W03-0612 [bib]: Ulla Vanhatalo; Hilary Chan
    Population Testing: Extracting Semantic Information On Near-Synonymy From Native Speakers
  40. W03-0613 [bib]: Brian Whitman; Deb Roy; Barry Vercoe
    Learning Word Meanings and Descriptive Parameter Spaces from Music


  1. Proceedings of SENSEVAL-2 Second International Workshop on Evaluating Word Sense Disambiguation Systems

  2. S01-1 [bib]: Entire Volume
  3. S01-1000: Front Matter

  4. S01-1001 [bib]: Philip Edmonds; Scott Cotton
    SENSEVAL-2: Overview
  5. S01-1002 [bib]: Eneko Agirre; Elena Garcia; Mikel Lersundi; David Martinez; Eli Pociello
    The Basque Task: Did Systems Perform in the Upperbound?
  6. S01-1003 [bib]: Iris Hendrickx; Antal van den Bosch
    Dutch Word Sense Disambiguation: Data and Preliminary Results
  7. S01-1004 [bib]: Adam Kilgarriff
    English Lexical Sample Task Description
  8. S01-1005 [bib]: Martha Palmer; Christiane Fellbaum; Scott Cotton; Lauren Delfs; Hoa Trang Dang
    English Tasks: All-Words and Verb Lexical Sample
  9. S01-1006 [bib]: Neeme Kahusk; Heili Orav; Haldur Oim
    Sensiting Inflectionality: Estonian Task for SENSEVAL-2
  10. S01-1007 [bib]: Francesca Bertagna; Claudia Soria; Nicoletta Calzolari
    The Italian Lexical Sample Task
  11. S01-1008 [bib]: Kiyoaki Shirai
    SENSEVAL-2 Japanese Dictionary Task
  12. S01-1009 [bib]: Sadao Kurohashi
    SENSEVAL-2 Japanese Translation Task
  13. S01-1010 [bib]: German Rigau; Mariona Taulè; Ana Fernandez; Julio Gonzalo
    Framework and Results for the Spanish SENSEVAL
  14. S01-1011 [bib]: Dimitrios Kokkinakis; Jerker Järborg; Yvonne Cederholm
    SENSEVAL-2 The Swedish Framework
  15. S01-1012 [bib]: Paul Buitelaar
    The SENSEVAL-2 Panel on Domains, Topics and Senses
  16. S01-1013 [bib]: Timothy Baldwin; Atsushi Okazaki; Takenobu Tokunaga; Hozumi Tanaka
    The Japanese Translation Task: Lexical and Structural Perspectives
  17. S01-1014 [bib]: Clara Cabezas; Philip Resnik; Jessica Stevens
    Supervised Sense Tagging using Support Vector Machines
  18. S01-1015 [bib]: Gerald Chao; Michael G. Dyer
    Probabilistic Network Models for Word Sense Disambiguation
  19. S01-1016 [bib]: Eric Crestan; Marc El-Bèze; Claude de Loupy
    Improving WSD with Multi-Level View of Context Monitored by Similarity Measure
  20. S01-1017 [bib]: Gerard Escudero; Lluìs Màrquez; German Rigau
    Using LazyBoosting for Word Sense Disambiguation
  21. S01-1018 [bib]: David Fernández-Amorós; Julio Gonzalo; Felisa Verdejo
    The UNED Systems at SENSEVAL-2
  22. S01-1019 [bib]: Sherwood Haynes
    Semantic Tagging Using WordNet Examples
  23. S01-1020 [bib]: Vèronique Hoste; Anne Kool; Walter Daelemans
    Classifier Optimization and Combination in the English All Words Task
  24. S01-1021 [bib]: H. Tolga Ilhan; Sepandar D. Kamvar; Dan Klein; Christopher D. Manning; Kristina Toutanova
    Combining Heterogeneous Classifiers for Word-Sense Disambiguation
  25. S01-1022 [bib]: Dimitrios Kokkinakis
    The Spr\aakdata-ML System as Used for SENSEVAL-2
  26. S01-1023 [bib]: Tadashi Kumano; Hideki Kashioka; Hideki Tanaka
    ATR-SLT System for SENSEVAL-2 Japanese Translation Task
  27. S01-1024 [bib]: Torbjörn Lager; Natalia Zinovjeva
    Sense and Deduction: The Power of Peewees Applied to the SENSEVAL-2 Swedish Lexical Sample Task
  28. S01-1025 [bib]: Lim Beng Tat; Zaharin Yusoff; Tang Enya Kong; Guo Cheng Ming
    Primitive-Based Word Sense Disambiguation for SENSEVAL-2
  29. S01-1026 [bib]: Kenneth C. Litkowski
    Use of Machine Readable Dictionaries for Word-Sense Disambiguation in SENSEVAL-2
  30. S01-1027 [bib]: Bernardo Magnini; Carlo Strapparava; Giovanni Pezzulo; Alfio Gliozzo
    Using Domain Information for Word Sense Disambiguation
  31. S01-1028 [bib]: David Martinez; Eneko Agirre
    Decision Lists for English and Basque
  32. S01-1029 [bib]: Diana McCarthy; John Carroll; Judita Preiss
    Disambiguating Noun and Verb Senses Using Automatically Acquired Selectional Preferences
  33. S01-1030 [bib]: Magnus Merkel; Mikael Andersson
    Combination of Contextual Features for Word Sense Disambiguation: LIU-WSD
  34. S01-1031 [bib]: Rada F. Mihalcea; Dan I. Moldovan
    Pattern Learning and Active Feature Selection for Word Sense Disambiguation
  35. S01-1032 [bib]: Andrès Montoyo; Armando Suárez
    The University of Alicante Word Sense Disambiguation System
  36. S01-1033 [bib]: Masaki Murata; Masao Utiyama; Kiyotaka Uchimoto; Qing Ma; Hitoshi Isahara
    Japanese Word Sense Disambiguation using the Simple Bayes and Support Vector Machine Methods
  37. S01-1034 [bib]: Ted Pedersen
    Machine Learning with Lexical Features: The Duluth Approach to SENSEVAL-2
  38. S01-1035 [bib]: Judita Preiss
    Anaphora Resolution with Word Sense Disambiguation
  39. S01-1036 [bib]: Hee-Cheol Seo; Sang-Zoo Lee; Hae-Chang Rim; Ho Lee
    KUNLP system using Classification Information Model at SENSEVAL-2
  40. S01-1037 [bib]: David Tugwell; Adam Kilgarriff
    WASP-Bench: a Lexicographic Tool Supporting Word Sense Disambiguation
  41. S01-1038 [bib]: Kiyotaka Uchimoto; Satoshi Sekine; Masaki Murata; Hitoshi Isahara
    Word Translation Based on Machine Learning Models Using Translation Memory and Corpora
  42. S01-1039 [bib]: Kadri Vider; Kaarel Kaljurand
    Automatic WSD: Does it Make Sense of Estonian?
  43. S01-1040 [bib]: David Yarowsky; Silviu Cucerzan; Radu Florian; Charles Schafer; Richard Wicentowski
    The John Hopkins SENSEVAL-2 System Descriptions


  1. ACL-2000 Workshop on Word Senses and Multi-linguality

  2. W00-0800: Front Matter

  3. W00-0801 [bib]: Mona Diab
    An Unsupervised Method for Multilingual Word Sense Tagging Using Parallel Corpora
  4. W00-0802 [bib]: Julio Gonzalo; Ixina Chugur ; Felisa Verdejo
    Sense clusters for Information Retrieval: Evidence from Semcor and the EuroWordNet InterLingual Index
  5. W00-0803 [bib]: Maruf Hasan; Yuji Matsumoto
    Chinese-Japanese Cross Language Information Retrieval: A Han Character Based Approach
  6. W00-0804 [bib]: Bernardo Magnini; Carlo Strapparva
    Experiments in Word Domain Disambiguation for Parallel Texts


  1. SIGLEX99: Standardizing Lexical Resources

  2. W99-0500: Front Matter

  3. W99-0501: Sanda M. Harabagiu; George A. Miller; Dan I. Moldovan
    WordNet 2 - A Morphologically and Semantically Enhanced Resource
  4. W99-0502: Hwee Tou Ng; Chung Yong Lim; Shou King Foo
    A Case Study on Inter-Annotator Agreement for Word Sense Disambiguation
  5. W99-0503: Suzanne Stevenson; Paola Merlo; Natalia Kariaeva Rutgers
    Supervised Learning of Lexical Semantic Verb Classes Using Frequency Distributions
  6. W99-0504: Ana Fernandez; M Antonia Marti; Gloria Vazquez; Irene Castellon
    On the concept of diathesis alternations as semantic oppositions
  7. W99-0505: Kenneth C Litkowski
    Towards a Meaning-Full Comparison of Lexical Resources
  8. W99-0506: Remi Zajac
    On Some Aspects of Lexical Standardization
  9. W99-0507: Bolette Sandford Pedersen; Britt Keson
    SIMPLE- Semantic Information for Multifunctional Plurilingual Lexica: Some Examples of Danish" Concrete Nouns
  10. W99-0508: Nancy IDE
    Parallel Translations as Sense Discriminators
  11. W99-0509: Evelyne Viegas
    An Overt Semantics with a Machine-guided Approach for Robust LKBs
  12. W99-0510: Satoshi Sekine; Kiyoshi Sudo; Takano Ogino
    Statistical Matching of Two Ontologies
  13. W99-0511: Ehsabete Ranchhod; Cristina Mota; Jorge Baptista
    A Computational Lexicon of Portuguese for Automatic Text Parsing
  14. W99-0512: Piek Vossen; Wim Peters; Julio Gonzalo
    Towards a Universal Index of Meaning
  15. W99-0513: Simonetta Vietri; Annibale Elia
    Electronic Dictionaries and Linguistic Analysis of Italian Large Corpora


  1. Proceedings of the Pilot SENSEVAL

  2. S98-1 [bib]: Entire Volume

    To Meeting Home Page


  1. SIGLEX97: Tagging Text with Lexical Semantics: Why, What, and How?

    To Meeting Home Page


  1. AAAI-95 Spring Symposium