Web IR NLP Group @ NUS
Web IR NLP Group @ NUS
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SWIM: a simple word interaction model for implicit discourse relation recognition
Capturing the semantic interaction of pairs of words across arguments and proper argument representation are both crucial issues in …
Wenqiang Lei
,
Xuancong Wang
,
Meichun Liu
,
Ilija Ilievski
,
Xiangnan He
,
Min-Yen Kan
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Using discourse signals for robust instructor intervention prediction
We tackle the prediction of instructor intervention in student posts from discussion forums in Massive Open Online Courses (MOOCs). Our …
Muthu Kumar Chandrasekaran
,
Carrie Demmans Epp
,
Min-Yen Kan
,
Diane Litman
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Context-aware Image Tweet Modelling and Recommendation
While efforts have been made on bridging the semantic gap in image understanding, the in situ understanding of social media images is …
Tao Chen
,
Xiangnan He
,
Min-Yen Kan
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DOI
URL
Fast Matrix Factorization for Online Recommendation with Implicit Feedback
This paper contributes improvements on both the effectiveness and efficiency of Matrix Factorization (MF) methods for implicit …
Xiangnan He
,
Hanwang Zhang
,
Min-Yen Kan
,
Tat-Seng Chua
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DOI
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Linking Organizational Social Network Profiles
Many organizations possess social media accounts on different social networks, but these profiles are not always linked. End …
Jerome Cheng
,
Kazunari Sugiyama
,
Min-Yen Kan
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DOI
URL
Scrutinizing Mobile App Recommendation: Identifying Important App-Related Indicators
Among several traditional and novel mobile app recommender techniques that utilize a diverse set of app-related features (such as an …
Jovian Lin
,
Kazunari Sugiyama
,
Min-Yen Kan
,
Tat-Seng Chua
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DOI
URL
Interactive Second Language Learning from News Websites
Tao Chen
,
Naijia Zheng
,
Yue Zhao
,
Muthu Kumar Chandrasekaran
,
Min-Yen Kan
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DOI
URL
Keywords, phrases, clauses and sentences: topicality, indicativeness and informativeness at scales
Min-Yen Kan
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DOI
URL
#mytweet via Instagram: Exploring User Behaviour across Multiple Social Networks
We study how users of multiple online social networks (OSNs) employ and share information by studying a common user pool that use six …
Bang Hui Lim
,
Dongyuan Lu
,
Tao Chen
,
Min-Yen Kan
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DOI
URL
Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs
We address the tasks of recovering bibliographic and document structure metadata from scholarly documents. We leverage higher order …
Nguyen Viet Cuong
,
Muthu Kumar Chandrasekaran
,
Min-Yen Kan
,
Wee Sun Lee
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