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2004
ACM

Unsupervised learning of soft patterns for generating definitions from online news

10 years 3 months ago
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 sources to construct definitions for such terms. Previous work has identified definitions using hand-crafted rules or supervised learning that constructs rigid, hard text patterns. In contrast, we demonstrate a new approach that uses flexible, soft matching patterns to characterize definition sentences. Our soft patterns are able to effectively accommodate the diversity of definition sentence structure exhibited in news. We use pseudorelevance feedback to automatically label sentences for use in soft pattern generation. The application of our unsupervised method significantly improves baseline systems on both the standardized TREC corpus as well as crawled online news articles by 27% and 30%, respectively, in terms of F measure. When applied to a state-of-art definition generation system recently fielded in the TREC 2003 definitional question answerin...
Hang Cui, Min-Yen Kan, Tat-Seng Chua
Added 22 Nov 2009
Updated 22 Nov 2009
Type Conference
Year 2004
Where WWW
Authors Hang Cui, Min-Yen Kan, Tat-Seng Chua
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