Research of Word Sense Disambiguation Based on Mining Association Rules

被引：0
|
作者：
Sun, Yong-le [1 ]
Jia, Ke-liang [2 ]
机构：
[1] Weifang Univ, Sch Comp & Commun Engn, Weifang, Peoples R China
[2] Shandong Econ Univ Jinan, Sch Informat Management, Jinan, Peoples R China
来源：
IITAW: 2009 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATIONS WORKSHOPS | 2009年
关键词：
natural language processing; word sense disambiguation; mining assosiation rules;
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 (WSD) is always an important and difficult problem that requires to be solved in Nature Language Processing. This paper presents a new WSD method which is based on the mining association rules. The method can mine the association rules between the sense of the ambiguous word and its context, to construct an association rules based database. At last the sense of the ambiguous word is marked by choosing the sense which the most association rules define. The experiment result shows that the method has high precision.
引用
收藏
页码：86 / +
页数：2
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