Research of Chinese Word Sense Disambiguation Based on HowNet

被引：0
|
作者：
Zhan, Jingwen [1 ]
Chen, Yanmin [1 ]
机构：
[1] China Jiliang Univ, Coll Informat Engn, Hangzhou 310018, Zhejiang, Peoples R China
来源：
EMERGING RESEARCH IN ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE | 2011年 / 237卷
关键词：
Word Sense Disambiguation; Natural Language Processing; HowNet; Dependency Grammar Analysis; Semantic Relevancy;
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：
A Chinese word sense disambiguation algorithm based on HowNet is proposed in this paper. After extracting the ambiguous words in the text, the correlative words which restrict the word sense in the context can be found by using dependency grammar analysis. Finally, by computing the semantic relevancy between the atomic term of ambiguous words and the correlative words, the correct meaning of the ambiguous word can be determined by the value of the semantic relevancy. Experimental results show that the method has a good effect on Chinese word sense disambiguation.
引用
收藏
页码：477 / 482
页数：6
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