Web IR NLP Group @ NUS
Web IR NLP Group @ NUS
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Paper-Conference
Keywords, phrases, clauses and sentences: topicality, indicativeness and informativeness at scales
Min-Yen Kan
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#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
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Dongyuan Lu
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Tao Chen
,
Min-Yen Kan
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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
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Muthu Kumar Chandrasekaran
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Min-Yen Kan
,
Wee Sun Lee
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TriRank: Review-aware Explainable Recommendation by Modeling Aspects
Most existing collaborative filtering techniques have focused on modeling the binary relation of users to items by extracting from user …
Xiangnan He
,
Tao Chen
,
Min-Yen Kan
,
Xiao Chen
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VELDA: relating an image tweet's text and images
Image tweets are becoming a prevalent form of social media, but little is known about their content - textual and visual - and the …
Tao Chen
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Hany M. SalahEldeen
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Xiangnan He
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Min-Yen Kan
,
Dongyuan Lu
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Exploiting Timelines to Enhance Multi-document Summarization
Jun-Ping Ng
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Yan Chen
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Min-Yen Kan
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Zhoujun Li
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Comment-based multi-view clustering of web 2.0 items
Clustering Web 2.0 items (i.e., web resources like videos, images) into semantic groups benefits many applications, such as organizing …
Xiangnan He
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Min-Yen Kan
,
Peichu Xie
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Xiao Chen
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New and improved: modeling versions to improve app recommendation
Existing recommender systems usually model items as static – unchanging in attributes, description, and features. However, in …
Jovian Lin
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Kazunari Sugiyama
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Min-Yen Kan
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Tat-Seng Chua
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Predicting the popularity of web 2.0 items based on user comments
In the current Web 2.0 era, the popularity of Web resources fluctuates ephemerally, based on trends and social interest. As a result, …
Xiangnan He
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Ming Gao
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Min-Yen Kan
,
Yiqun Liu
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Kazunari Sugiyama
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Chinese Informal Word Normalization: an Experimental Study
Aobo Wang
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Min-Yen Kan
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Daniel Andrade
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Takashi Onishi
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Kai Ishikawa
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