Research of Word Sense Disambiguation Based on Mining Association Rule

Author

Sun, Yong-le ; Jia, Ke-liang

Author_Institution

Sch. of Comput. & Commun. Eng., Weifang Univ., Weifang, China

fYear

2009

fDate

21-22 Nov. 2009

Firstpage

86

Lastpage

88

Abstract

Word sense disambiguation (WSD) is always an important and difficult problem that requires to be solved in natural 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.

Keywords

data mining; knowledge based systems; natural language processing; WSD method; association rule mining; association rules-based database; natural language processing; word sense disambiguation; Application software; Association rules; Data mining; Electronic mail; Frequency; Information analysis; Information technology; Speech analysis; Sun; Transaction databases; mining assosiation rules; natural language processing; word sense disambiguation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on

Conference_Location

Nanchang

Print_ISBN

978-1-4244-6420-3

Electronic_ISBN

978-1-4244-6421-0

Type

conf

DOI

10.1109/IITAW.2009.85

Filename

5419489