Web IR NLP Group @ NUS
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Paper-Conference
Exploiting Discourse Analysis for Article-Wide Temporal Classification
Jun-Ping Ng
,
Min-Yen Kan
,
Ziheng Lin
,
Wei Feng
,
Bin Chen
,
Jian Su
,
Chew-Lim Tan
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URL
Mining Scientific Terms and their Definitions: A Study of the ACL Anthology
Yiping Jin
,
Min-Yen Kan
,
Jun-Ping Ng
,
Xiangnan He
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URL
Mining Informal Language from Chinese Microtext: Joint Word Recognition and Segmentation
Aobo Wang
,
Min-Yen Kan
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URL
Addressing cold-start in app recommendation: latent user models constructed from twitter followers
As a tremendous number of mobile applications (apps) are readily available, users have difficulty in identifying apps that are relevant …
Jovian Lin
,
Kazunari Sugiyama
,
Min-Yen Kan
,
Tat-Seng Chua
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DOI
URL
Constructing an anonymous dataset from the personal digital photo libraries of mac app store users
Personal digital photo libraries embody a large amount of information useful for research into photo organization, photo layout, and …
Jesse Prabawa Gozali
,
Min-Yen Kan
,
Hari Sundaram
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DOI
URL
Exploiting potential citation papers in scholarly paper recommendation
To help generate relevant suggestions for researchers, recommendation systems have started to leverage the latent interests in the …
Kazunari Sugiyama
,
Min-Yen Kan
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DOI
URL
Extracting and matching authors and affiliations in scholarly documents
We introduce Enlil, an information extraction system that discovers the institutional affiliations of authors in scholarly papers. …
Huy Hoang Nhat Do
,
Muthu Kumar Chandrasekaran
,
Philip S. Cho
,
Min-Yen Kan
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DOI
URL
Multimodal alignment of scholarly documents and their presentations
We present a multimodal system for aligning scholarly docu- ments to corresponding presentations in a fine-grained man- ner (i.e., per …
Bamdad Bahrani
,
Min-Yen Kan
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DOI
URL
Understanding and classifying image tweets
Social media platforms now allow users to share images alongside their textual posts. These image tweets make up a fast-growing …
Tao Chen
,
Dongyuan Lu
,
Min-Yen Kan
,
Peng Cui
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DOI
URL
Exploiting Category-Specific Information for Multi-Document Summarization
Jun-Ping Ng
,
Praveen Bysani
,
Ziheng Lin
,
Min-Yen Kan
,
Chew-Lim Tan
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URL
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