The research on query expansion for chinese question answering system

Authors:
Zhengtao Yu;Xiaozhong Fan;Lirong Song;Jianyi Guo
Affiliations:
The School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, P.R. China;Department of Computer Science & Engineering, Beijing Institute of Technology, Beijing, P.R. China;English Department, Beijing Institute of Technology, Beijing;The School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, P.R. China
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Year:
2005

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Abstract

In document retrieval, expanding query with words that are semantically related or frequently co-occur can get good performance. In Chinese question answering system, in order to improve answer-document retrieval precision, query expansion is also necessary. Aiming at the specialty of Chinese question answering system, a method of query expansion based on related words for specific question types and synonym in HowNet is proposed. A computing method of similarity between questions and documents based on minimal matching span is presented. This method is based on vector space model, and also fully considers the position information of query words and query expansion words in the documents. Finally, the experiment results show that the effect of expanding query makes better than unexpanded one.