Web-based unsupervised learning for query formulation in question answering

Authors:
Yi-Chia Wang;Jian-Cheng Wu;Tyne Liang;Jason S. Chang
Affiliations:
Dep. of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.;Dep. of Computer Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.;Dep. of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.;Dep. of Computer Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.
Venue:
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Year:
2005

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Abstract

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.