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Semantic passage segmentation based on sentence topics for question answering

10 years 11 months ago
Semantic passage segmentation based on sentence topics for question answering
We propose a semantic passage segmentation method for a Question Answering (QA) system. We define a semantic passage as sentences grouped by semantic coherence, determined by the topic assigned to individual sentences. Topic assignments are done by a sentence classifier based on a statistical classification technique, Maximum Entropy (ME), combined with multiple linguistic features. We ran experiments to evaluate the proposed method and its impact on application tasks, passage retrieval and template-filling for question answering. The experimental result shows that our semantic passage retrieval method using topic matching is more useful than fixed length passage retrieval. With the template-filling task used for information extraction in the QA system, the value of the sentence topic assignment method was reinforced. Ó 2007 Elsevier Inc. All rights reserved.
Hyo-Jung Oh, Sung-Hyon Myaeng, Myung-Gil Jang
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where ISCI
Authors Hyo-Jung Oh, Sung-Hyon Myaeng, Myung-Gil Jang
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