Merging case relations into VSM to improve information retrieval precision

Authors:
Wang Hongtao;Sun Maosong;Liu Shaoming
Affiliations:
The State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, China;The State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, China;Future Technology Institute, Fuji Xerox Co. Ltd, Japan
Venue:
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Year:
2005

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Abstract

This paper presents an approach that merges case relations into the well-known Vector Space Model (VSM), leading to a new model named C-VSM (Case relation-based VSM). A Chinese case system with 23 case relations is established, and a Chinese Olympic news corpus of 7,662 sentences, denoted COCS, is constructed by manual annotation with these 23 case relations. We use 50 queries on COCS as a test set. Experimental results on the test set show that C-VSM outperforms W-VSM (Word-based VSM) by 3.4% on the average 11-point precision. It is worth pointing out that almost all the previous studies on semantic IR obtained no better, even worse, results than W-VSM, our work thus validates the usefulness of case relations in IR through the validation is still preliminary. The proposed model is believed to be language-independent.