Word sense disambiguation in untagged text based on term weight learning

被引：0

作者：

Fukurnoto, F ^{[1
]}

Suzuki, Y ^{[1
]}

机构：

[1] Yamanashi Univ, Dept Comp Sci & Media Engn, Kofu, Yamanashi 4008511, 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 describes unsupervised learning algorithm for disambiguating verbal word senses using term weight learning. In our method, collocations which characterise every sense are extracted using similarity-based estimation. For the results, term weight learning is performed. Parameters of term weighting are then estimated so as to maximise the collocations which characterise every sense and minimise the other collocations. The results of experiment demonstrate the effectiveness of the method.

引用

页码：209 / 216

页数：8

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