Word sense disambiguation based on perceptron model
Release time:2019-03-11
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First Author:
Chun-Xiang, Zhang
Correspondence Author:
Chun-Xiang, Zhang(z6c6x666@163.com)
Co-author:
Xue-Yao, Gao,Zhi-Mao, Lu
Date of Publication:
2016-01-01
Journal:
International Journal of Database Theory and Application
Included Journals:
EI
Document Type:
J
Volume:
9
Issue:
5
Page Number:
121-128
ISSN No.:
20054270
Abstract:
Word sense disambiguation (WSD) is an important research topic in natural language processing field, which is very useful for machine translation and information retrieval. In this paper, a linear combination model based on multiple discriminative features is proposed to determine correct sense of an ambiguous word, in which morphology and part of speech in left and right words around ambiguous word are used as features. Then, perceptron algorithm is applied to optimize the WSD model. Experiments show that the WSD performance is improved after the proposed method is applied. © 2016 SERSC.
Translation or Not:
no
