Publications

Yisong Miao, Hongfu Liu, Wenqiang Lei, Nancy F. Chen, Min-Yen Kan (2024). Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models’ Understanding of Discourse Relations. In ACL 2024.

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Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin (2024). Beyond Memorization: The Challenge of Random Memory Access in Language Models. In ACL 2024.

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Sudhansu Bala Das, Divyajyoti Panda, Tapas Kumar Mishra, Bidyut Kumar Patra (2024). Statistical Machine Translation for Indic Languages. Natural Language Processing.

Chuang Li, Yan Zhang, Min-Yen Kan, Haizhou Li (2024). UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking. Findings of the Association for Computational Linguistics: NAACL 2024.

Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria (2024). Self-Adaptive Sampling for Accurate Video Question Answering on Image Text Models. Findings of the Association for Computational Linguistics: NAACL 2024.

Zi Yun Yang, Ziqing Zhang, Yisong Miao (2024). The ELCo Dataset: Bridging Emoji and Lexical Composition. In LREC-COLING 2024.

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Sudhansu Bala Das, Divyajyoti Panda, Tapas Kumar Mishra, Bidyut Kumar Patra, Asif Ekbal (2024). Multilingual Neural Machine Translation for Indic to Indic Languages. ACM Transactions on Asian and Low-Resource Language Information Processing.

Nhat M. Hoang, Xuan Long Do, Duc Anh Do, Duc Anh Vu, Luu Anh Tuan (2024). ToXCL: A Unified Framework for Toxic Speech Detection and Explanation. In NAACL 2024.

Mike Zhang, Rob Van Der Goot, Min-Yen Kan, Barbara Plank (2024). NNOSE: Nearest Neighbor Occupational Skill Extraction. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers).

Phuoc Pham Van Long, Duc Anh Vu, Nhat M. Hoang, Xuan Long Do, Anh Tuan Luu (2024). ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Question. In ACM/SIGAPP SAC 2024.

Nhat M. Hoang, Kehong Gong, Chuan Guo, Michael Bi Mi (2024). MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation. In AAAI 2024.

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Shaurya Rohatgi, Yanxia Qin, Benjamin Aw, Niranjana Unnithan, Min-Yen Kan (2023). The ACL OCL Corpus: Advancing Open Science in Computational Linguistics. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan (2023). SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov (2023). QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations.

Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Wang (2023). On the Risk of Misinformation Pollution with Large Language Models. Findings of the Association for Computational Linguistics: EMNLP 2023.

Yuxi Xie, Guanzhen Li, Min-Yen Kan (2023). ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning. Findings of the Association for Computational Linguistics: EMNLP 2023.

Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Keh, Min-Yen Kan, Tong Zhang (2023). Doolittle: Benchmarks and Corpora for Academic Writing Formalization. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

Yixi Ding, Yanxia Qin, Qian Liu, Min-Yen Kan (2023). CocoSciSum: A Scientific Summarization Toolkit with Compositional Controllability. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations.

Minzhi Li (Ella), Taiwei Shi, Caleb Ziems, Min-Yen Kan, Nancy Chen, Zhengyuan Liu, Diyi Yang (2023). CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

Liangming Pan, Yunxiang Zhang, Min-Yen Kan (2023). Investigating Zero- and Few-shot Generalization in Fact Verification. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers).

Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan (2023). FollowupQG: Towards information-seeking follow-up question generation. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers).

Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang (2023). Attacking Open-domain Question Answering by Injecting Misinformation. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers).

Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan (2023). Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM ‘23).

Fen Fang, Nhat M. Hoang, Qianli Xu, Joo-Hwee Lim (2023). Data Augmentation Using Corner CutMix and an Auxiliary Self-Supervised Loss. In ICIP 2023.

Longshen Ou, Xichu Ma, Min-Yen Kan, Ye Wang (2023). Songs Across Borders: Singable and Controllable Neural Lyric Translation. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Ibrahim Taha Aksu, Min-Yen Kan, Nancy Chen (2023). Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov (2023). Fact-Checking Complex Claims with Program-Guided Reasoning. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Luciana Benotti, Karën Fort, Min-Yen Kan, Yulia Tsvetkov (2023). Understanding Ethics in NLP Authoring and Reviewing. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts.

Bhavitvya Malik, Abhinav Ramesh Kashyap, Min-Yen Kan, Soujanya Poria (2023). UDAPTER - Efficient Domain Adaptation Using Adapters. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics.

Keng Ji Chow, Samson Tan, Min-Yen Kan (2023). TraVLR: Now You See It, Now You Don′t! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics.

Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Min-Yen Kan, Jian-Guang Lou (2022). Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.

Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria (2022). MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.

George Po-Wei Huang, Abhinav Ramesh Kashyap, Yanxia Qin, Yajing, Min-Yen Kan (2022). Lightweight Contextual Logical Structure Recovery. Proceedings of the Third Workshop on Scholarly Document Processing.

Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng (2022). CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations. Proceedings of the 29th International Conference on Computational Linguistics.

Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann, Soujanya Poria (2022). So Different Yet So Alike! Constrained Unsupervised Text Style Transfer. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Ibrahim Aksu, Zhengyuan Liu, Min-Yen Kan, Nancy Chen (2022). N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking. Findings of the Association for Computational Linguistics: ACL 2022.

Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan (2022). Interpreting the Robustness of Neural NLP Models to Textual Perturbations. Findings of the Association for Computational Linguistics: ACL 2022.

Libo Qin, Qiguang Chen, Tianbao Xie, Qixin Li, Jian-Guang Lou, Wanxiang Che, Min-Yen Kan (2022). GL-CLeF: A Global--Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Saurabh Jain, Yisong Miao, Min-Yen Kan (2022). Comparative Snippet Generation. Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5).

Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang (2021). Zero-shot Fact Verification by Claim Generation. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers).

Samson Tan, Shafiq Joty, Kathy Baxter, Araz Taeihagh, Gregory A. Bennett, Min-Yen Kan (2021). Reliability Testing for Natural Language Processing Systems. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers).

Ibrahim Taha Aksu, Zhengyuan Liu, Min , Nancy Chen (2021). Velocidapter: Task-oriented Dialogue Comprehension Modeling Pairing Synthetic Text Generation with Domain Adaptation. Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue.

Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang (2021). Unsupervised Multi-hop Question Answering by Question Generation. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

Abhinav Ramesh Kashyap, Laiba Mehnaz, Bhavitvya Malik, Abdul Waheed, Devamanyu Hazarika, Min-Yen Kan, Rajiv Ratn Shah (2021). Analyzing the Domain Robustness of Pretrained Language Models, Layer by Layer. Proceedings of the Second Workshop on Domain Adaptation for NLP.

Akshay Bhola, Kishaloy Halder, Animesh Prasad, Min-Yen Kan (2020). Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework. Proceedings of the 28th International Conference on Computational Linguistics.

Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin (2020). Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. Proceedings of the 28th International Conference on Computational Linguistics.

Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng (2020). Exploring Question-Specific Rewards for Generating Deep Questions. Proceedings of the 28th International Conference on Computational Linguistics.

Abhinav Ramesh Kashyap, Min-Yen Kan (2020). SciWING-- A Software Toolkit for Scientific Document Processing. Proceedings of the First Workshop on Scholarly Document Processing.

Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min-Yen Kan, Tat-Seng Chua (2020). Re-examining the Role of Schema Linking in Text-to-SQL. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).

Samson Tan, Shafiq Joty, Lav Varshney, Min-Yen Kan (2020). Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).

Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan (2020). Semantic Graphs for Generating Deep Questions. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.

Samson Tan, Shafiq Joty, Min-Yen Kan, Richard Socher (2020). It′s Morphin′ Time! Combating Linguistic Discrimination with Inflectional Perturbations. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.

Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua (2020). Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.

Van Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan (2020). FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. Proceedings of the 29th ACM International Conference on Information & Knowledge Management.

Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua (2020). Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. Proceedings of the 13th International Conference on Web Search and Data Mining.

Chenglei Si, Kui Wu, Ai Ti Aw, Min-Yen Kan (2019). Sentiment Aware Neural Machine Translation. Proceedings of the 6th Workshop on Asian Translation.

Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama (2019). Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers).

Animesh Prasad, Min-Yen Kan (2019). Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers).

Admin (2019). An example preprint / working paper.

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Ya-Hui An, Liangming Pan, Min-Yen Kan, Qiang Dong, Yan Fu (2019). Resource Mention Extraction for MOOC Discussion Forums. IEEE Access.

Van Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Kishaloy Halder (2018). Treatment Side Effect Prediction from Online User-generated Content. Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis.

Shenhao Jiang, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama (2018). Identifying Emergent Research Trends by Key Authors and Phrases. Proceedings of the 27th International Conference on Computational Linguistics.

Daniel Gildea, Min-Yen Kan, Nitin Madnani, Christoph Teichmann, Martı́n Villalba (2018). The ACL Anthology: Current State and Future Directions. Proceedings of Workshop for NLP Open Source Software (NLP-OSS).

Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, Dawei Yin (2018). Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Muthu Kumar Chandrasekaran, Min-Yen Kan (2018). Countering Position Bias in Instructor Interventions in MOOC Discussion Forums. Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications.

Kishaloy Halder, Lahari Poddar, Min-Yen Kan (2017). Modeling Temporal Progression of Emotional Status in Mental Health Forum: A Recurrent Neural Net Approach. Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis.

Animesh Prasad, Min-Yen Kan (2017). WING-NUS at SemEval-2017 Task 10: Keyphrase Extraction and Classification as Joint Sequence Labeling. Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017).

Regina Barzilay, Min-Yen Kan (2017). Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Association for Computational Linguistics.

Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang (2017). BiRank: Towards Ranking on Bipartite Graphs. IEEE Trans. on Knowl. and Data Eng..

Guillaume Cabanac, Muthu Kumar Chandrasekaran, Ingo Frommholz, Kokil Jaidka, Min-Yen Kan, Philipp Mayr, Dietmar Wolfram (2016). Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL).

Xiangnan He, Hanwang Zhang, Min-Yen Kan, Tat-Seng Chua (2016). Fast Matrix Factorization for Online Recommendation with Implicit Feedback. Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval.

Tao Chen, Xiangnan He, Min-Yen Kan (2016). Context-aware Image Tweet Modelling and Recommendation. Proceedings of the 24th ACM International Conference on Multimedia.

Admin, Robert Ford (2015). An example journal article. Journal of Source Themes, 1(1).

Min-Yen Kan (2015). Keywords, phrases, clauses and sentences: topicality, indicativeness and informativeness at scales. Proceedings of the ACL 2015 Workshop on Novel Computational Approaches to Keyphrase Extraction.

Tao Chen, Naijia Zheng, Yue Zhao, Muthu Kumar Chandrasekaran, Min-Yen Kan (2015). Interactive Second Language Learning from News Websites. Proceedings of the 2nd Workshop on Natural Language Processing Techniques for Educational Applications.

Kazunari Sugiyama, Min-Yen Kan (2015). \"Towards higher relevance and serendipity in scholarly paper recommendation\" by Kazunari Sugiyama and Min-Yen Kan with Martin Vesely as coordinator. SIGWEB Newsl..

Xiangnan He, Tao Chen, Min-Yen Kan, Xiao Chen (2015). TriRank: Review-aware Explainable Recommendation by Modeling Aspects. Proceedings of the 24th ACM International on Conference on Information and Knowledge Management.

Jun-Ping Ng, Yan Chen, Min-Yen Kan, Zhoujun Li (2014). Exploiting Timelines to Enhance Multi-document Summarization. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, Kazunari Sugiyama (2014). Predicting the popularity of web 2.0 items based on user comments. Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval.

Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua (2014). New and improved: modeling versions to improve app recommendation. Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval.

Xiangnan He, Min-Yen Kan, Peichu Xie, Xiao Chen (2014). Comment-based multi-view clustering of web 2.0 items. Proceedings of the 23rd International Conference on World Wide Web.

Yiping Jin, Min-Yen Kan, Jun-Ping Ng, Xiangnan He (2013). Mining Scientific Terms and their Definitions: A Study of the ACL Anthology. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing.

Jun-Ping Ng, Min-Yen Kan, Ziheng Lin, Wei Feng, Bin Chen, Jian Su, Chew-Lim Tan (2013). Exploiting Discourse Analysis for Article-Wide Temporal Classification. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing.

Aobo Wang, Min-Yen Kan, Daniel Andrade, Takashi Onishi, Kai Ishikawa (2013). Chinese Informal Word Normalization: an Experimental Study. Proceedings of the Sixth International Joint Conference on Natural Language Processing.

Aobo Wang, Min-Yen Kan (2013). Mining Informal Language from Chinese Microtext: Joint Word Recognition and Segmentation. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Tao Chen, Dongyuan Lu, Min-Yen Kan, Peng Cui (2013). Understanding and classifying image tweets. Proceedings of the 21st ACM International Conference on Multimedia.

Kazunari Sugiyama, Min-Yen Kan (2013). Exploiting potential citation papers in scholarly paper recommendation. Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries.

Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua (2013). Addressing cold-start in app recommendation: latent user models constructed from twitter followers. Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval.

Jun-Ping Ng, Min-Yen Kan (2012). Improved Temporal Relation Classification using Dependency Parses and Selective Crowdsourced Annotations. Proceedings of COLING 2012.

Jun-Ping Ng, Praveen Bysani, Ziheng Lin, Min-Yen Kan, Chew-Lim Tan (2012). Exploiting Category-Specific Information for Multi-Document Summarization. Proceedings of COLING 2012.

Praveen Bysani, Min-Yen Kan (2012). Integrating User-Generated Content in the ACL Anthology. Proceedings of the ACL-2012 Special Workshop on Rediscovering 50 Years of Discoveries.

Ziheng Lin, Chang Liu, Hwee Tou Ng, Min-Yen Kan (2012). Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation. Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Aobo Wang, Tao Chen, Min-Yen Kan (2012). Re-tweeting from a linguistic perspective. Proceedings of the Second Workshop on Language in Social Media.

Ziheng Lin, Hwee Tou Ng, Min-Yen Kan (2011). Automatically Evaluating Text Coherence Using Discourse Relations. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies.

Minh-Thang Luong, Preslav Nakov, Min-Yen Kan (2010). A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing.

Cong Duy Vu Hoang, Min-Yen Kan (2010). Towards Automated Related Work Summarization. Coling 2010: Posters.

Su Nam Kim, Timothy Baldwin, Min-Yen Kan (2010). Evaluating N-gram based Evaluation Metrics for Automatic Keyphrase Extraction. Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010).

Minh-Thang Luong, Min-Yen Kan (2010). Enhancing Morphological Alignment for Translating Highly Inflected Languages. Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010).

Su Nam Kim, Olena Medelyan, Min-Yen Kan, Timothy Baldwin (2010). SemEval-2010 Task 5 : Automatic Keyphrase Extraction from Scientific Articles. Proceedings of the 5th International Workshop on Semantic Evaluation.

Sein Lin, Jun-Ping Ng, Shreyasee Pradhan, Jatin Shah, Ricardo Pietrobon, Min-Yen Kan (2010). Extracting Formulaic and Free Text Clinical Research Articles Metadata using Conditional Random Fields. Proceedings of the NAACL HLT 2010 Second Louhi Workshop on Text and Data Mining of Health Documents.

Kazunari Sugiyama, Min-Yen Kan (2010). Scholarly paper recommendation via user's recent research interests. Proceedings of the 10th Annual Joint Conference on Digital Libraries.

Su Nam Kim, Timothy Baldwin, Min-Yen Kan (2009). Extracting Domain-Specific Words - A Statistical Approach. Proceedings of the Australasian Language Technology Association Workshop 2009.

Hendra Setiawan, Min-Yen Kan, Haizhou Li, Philip Resnik (2009). Topological Ordering of Function Words in Hierarchical Phrase-based Translation. Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP.

Ziheng Lin, Min-Yen Kan, Hwee Tou Ng (2009). Recognizing Implicit Discourse Relations in the Penn Discourse Treebank. Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing.

Su Nam Kim, Min-Yen Kan (2009). Re-examining Automatic Keyphrase Extraction Approaches in Scientific Articles. Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications (MWE 2009).

Min-Yen Kan, Simone Teufel (2009). Proceedings of the 2009 Workshop on Text and Citation Analysis for Scholarly Digital Libraries (NLPIR4DL). Association for Computational Linguistics.

Hung Huu Hoang, Su Nam Kim, Min-Yen Kan (2009). A re-examination of lexical association measures. Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications (MWE 2009).

Steven Bird, Robert Dale, Bonnie Dorr, Bryan Gibson, Mark Joseph, Min-Yen Kan, Dongwon Lee, Brett Powley, Dragomir Radev, Yee Fan Tan (2008). The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics. Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08).

Isaac Councill, C. Lee Giles, Min-Yen Kan (2008). ParsCit: an Open-source CRF Reference String Parsing Package. Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08).

Long Qiu, Min-Yen Kan, Tat-Seng Chua (2008). Modeling Context in Scenario Template Creation. Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-I.

Ergin Elmacioglu, Yee Fan Tan, Su Yan, Min-Yen Kan, Dongwon Lee (2007). PSNUS: Web People Name Disambiguation by Simple Clustering with Rich Features. Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007).

Hendra Setiawan, Min-Yen Kan, Haizhou Li (2007). Ordering Phrases with Function Words. Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics.

Ziheng Lin, Min-Yen Kan (2007). Timestamped Graphs: Evolutionary Models of Text for Multi-Document Summarization. Proceedings of the Second Workshop on TextGraphs: Graph-Based Algorithms for Natural Language Processing.

Su Yan, Dongwon Lee, Min-Yen Kan, Lee C. Giles (2007). Adaptive sorted neighborhood methods for efficient record linkage. Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries.

Long Qiu, Min-Yen Kan, Tat-Seng Chua (2006). Paraphrase Recognition via Dissimilarity Significance Classification. Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing.

Yee Fan Tan, Min-Yen Kan, Dongwon Lee (2006). Search engine driven author disambiguation. Proceedings of the 6th ACM/IEEE-CS Joint Conference on Digital Libraries.

Yee Fan Tan, Min-Yen Kan, Hang Cui (2006). Extending corpus-based identification of light verb constructions using a supervised learning framework. Proceedings of the Workshop on Multi-word-expressions in a multilingual context.

Hang Cui, Renxu Sun, Keya Li, Min-Yen Kan, Tat-Seng Chua (2005). Question answering passage retrieval using dependency relations. Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.

Min-Yen Kan, Hoang Oanh Nguyen Thi (2005). Fast webpage classification using URL features. Proceedings of the 14th ACM International Conference on Information and Knowledge Management.

Long Qiu, Min-Yen Kan, Tat-Seng Chua (2004). A Public Reference Implementation of the RAP Anaphora Resolution Algorithm. Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC′04).

Min-Yen Kan (2004). Web page classification without the web page. Proceedings of the 13th International World Wide Web Conference on Alternate Track Papers & Posters.

Hang Cui, Min-Yen Kan, Tat-Seng Chua (2004). Unsupervised learning of soft patterns for generating definitions from online news. Proceedings of the 13th International Conference on World Wide Web.

Min-Yen Kan, Kathleen R. McKeown (2002). Corpus-trained Text Generation for Summarization. Proceedings of the International Natural Language Generation Conference.

Min-Yen Kan, Judith L. Klavans, Kathleen R. McKeown (2002). Using the Annotated Bibliography as a Resource for Indicative Summarization. Proceedings of the Third International Conference on Language Resources and Evaluation (LREC′02).

Min-Yen Kan, Kathleen R. McKeown, Judith L. Klavans (2001). Applying Natural Language Generation to Indicative Summarization. Proceedings of the ACL 2001 Eighth European Workshop on Natural Language Generation (EWNLG).

Judith L. Klavans, Min-Yen Kan (1998). Role of Verbs in Document Analysis. 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 1.

Min-Yen Kan, Judith L. Klavans, Kathleen R. McKeown (1998). Linear Segmentation and Segment Significance. Sixth Workshop on Very Large Corpora.