標題: Web-based unsupervised learning for query formulation in question answering
作者: Wang, YC
Wu, JC
Liang, T
Chang, JS
資訊工程學系
Department of Computer Science
公開日期: 2005
摘要: Converting questions to effective queries is crucial to open-domain question answering systems. In this paper, we present a web-based unsupervised learning approach for transforming a given natural-language question to an effective query. The method involves querying a search engine for Web passages that contain the answer to the question, extracting patterns that characterize fine-grained classification for answers, and linking these patterns with n-grams in answer passages. Independent evaluation on a set of questions shows that the proposed approach outperforms a naive keyword-based approach in terms of mean reciprocal rank and human effort.
URI: http://hdl.handle.net/11536/25507
ISBN: 3-540-29172-5
ISSN: 0302-9743
期刊: NATURAL LANGUAGE PROCESSING - IJCNLP 2005, PROCEEDINGS
Volume: 3651
起始頁: 519
結束頁: 529
顯示於類別:會議論文