Complementing WordNet with Roget's and corpus-based thesauri for information retrieval

被引：0
|
作者：
Mandala, R [1 ]
Tokunaga, T [1 ]
Tanaka, H [1 ]
机构：
[1] Tokyo Inst Technol, Dept Comp Sci, Meguro Ku, Tokyo 1528522, Japan
来源：
NINTH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS | 1999年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a method to overcome the drawbacks of WordNet when applied to information retrieval by complementing it with Roget's thesaurus and corpus-derived thesauri. Words and relations which are not included in WordNet can be found in the corpus-derived thesauri. Effects of polysemy can be minimized with weighting method considering all query terms and all of the thesauri. Experimental results show that our method enhances information retrieval performance significantly.
引用
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页码：94 / 101
页数：8
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