Web IR NLP Group @ NUS
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Question answering passage retrieval using dependency relations
State-of-the-art question answering (QA) systems employ term-density ranking to retrieve answer passages. Such methods often retrieve …
Hang Cui
,
Renxu Sun
,
Keya Li
,
Min-Yen Kan
,
Tat-Seng Chua
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A Public Reference Implementation of the RAP Anaphora Resolution Algorithm
Long Qiu
,
Min-Yen Kan
,
Tat-Seng Chua
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Stylistic and lexical co-training for web block classification
Many applications which use web data extract information from a limited number of regions on a web page. As such, web page division …
Chee How Lee
,
Min-Yen Kan
,
Sandra Lai
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Unsupervised learning of soft patterns for generating definitions from online news
Breaking news often contains timely definitions and descriptions of current terms, organizations and personalities. We utilize such web …
Hang Cui
,
Min-Yen Kan
,
Tat-Seng Chua
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Web page classification without the web page
Uniform resource locators (URLs), which mark the address of a resource on the World Wide Web, are often human-readable and can hint at …
Min-Yen Kan
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Corpus-trained Text Generation for Summarization
Min-Yen Kan
,
Kathleen R. McKeown
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Using the Annotated Bibliography as a Resource for Indicative Summarization
Min-Yen Kan
,
Judith L. Klavans
,
Kathleen R. McKeown
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Using librarian techniques in automatic text summarization for information retrieval
A current application of automatic text summarization is to provide an overview of relevant documents coming from an information …
Min-Yen Kan
,
Judith L. Klavans
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Applying Natural Language Generation to Indicative Summarization
Min-Yen Kan
,
Kathleen R. McKeown
,
Judith L. Klavans
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PERSIVAL: personalized summarization over multimedia health-care information
In this demonstration, we present several integrated components of PER SIVAL PErsonalized Retrieval and Summarization of Image, Video …
Noemie Elhadad
,
Min-Yen Kan
,
Simon Lok
,
Smaranda Muresan
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