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Chinese query expansion based on related term group

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成果类型:
期刊论文
作者:
He, TT*何婷婷);Tu, XH;Qu, GZ;Ji, DH
通讯作者:
He, TT(何婷婷
作者机构:
[He, TT; Ji, DH; Qu, GZ; Tu, XH] Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
通讯机构:
[He, TT] H
Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
语种:
英文
期刊:
Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05)
年:
2005
卷:
2005
页码:
483-487
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
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 compare to...

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