Attribute knowledge mining for Chinese word sense disambiguation

被引:0
|
作者
Duan, Jianyong [1 ]
Fu, Yao [1 ]
Li, Xia [2 ]
机构
[1] North China Univ Technol, Coll Comp Sci, Beijing, Peoples R China
[2] Guangdong Univ Foreign Studies, Key Lab Language Engn & Comp, Guangzhou, Guangdong, Peoples R China
关键词
Sense disambiguation; attribute knowledge; mathematical method;
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
Word sense disambiguation is a technology of judging the specific semantic of polysemous words in the specific context. It is meaningful for the applications of natural language processing. This paper introduces the attribute knowledge into word sense disambiguation task. Every sense of the polysemous words can be described by the different attribute sets. These attributes can be viewed as a kind of context features. The attribute knowledge bases are built for every polysemous word, and employed into the Naive Bayes classifier and Maximum Entropy classifier as a dimension feature to judge the specific semantic of polysemous words in the specific context. The experimental results show that this method can effectively improve the accuracy of Chinese word sense disambiguation.
引用
收藏
页码:73 / 77
页数:5
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