Word sense disambiguation based on perceptron model
发表时间：2019-03-11
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论文类型：
期刊论文
第一作者：
Chun-Xiang, Zhang
通讯作者：
Chun-Xiang, Zhang(z6c6x666@163.com)
合写作者：
Xue-Yao, Gao,Zhi-Mao, Lu
发表时间：
2016-01-01
发表刊物：
International Journal of Database Theory and Application
收录刊物：
EI
文献类型：
J
卷号：
9
期号：
5
页面范围：
121-128
ISSN号：
20054270
摘要：
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.
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