Chinese query expansion based on related term group

This paper proposes a novel method to improve the performance of Chinese information retrieval systems by expanding queries using automatically acquired related term groups. Unlike traditional query expansion methods, the related term groups extracted from Web-based corpuses and the related term ext...

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Hauptverfasser:	Tingting He, Xinhui Tu, Guozhong Qu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computer science Data mining Degradation Feedback Helium Indexing Information retrieval Performance analysis Testing Thesauri
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creator	Tingting He Xinhui Tu Guozhong Qu
description	This paper proposes a novel method to improve the performance of Chinese information retrieval systems by expanding queries using automatically acquired related term groups. Unlike traditional query expansion methods, the related term groups extracted from Web-based corpuses and the related term extracted from document set are used in combination to improve the effectiveness of query expansion in our method. Experiments show that our method achieves an average 24.5% improvement compared to the traditional relevance feedback technique.
doi_str_mv	10.1109/NLPKE.2005.1598785
format	Conference Proceeding
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subjects	Computer science Data mining Degradation Feedback Helium Indexing Information retrieval Performance analysis Testing Thesauri
title	Chinese query expansion based on related term group
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