Chinese Word Sense Disambiguation Based on Beam Search

被引：0

作者：

Zhang Chun-Xiang ^{[1
]}

He Shan ^{[2
]}

Gao Xue-Yao ^{[1
,2
]}

Lu Zhi-Mao ^{[3
]}

机构：

[1] Harbin Univ Sci & Technol, Sch Software, Harbin 150080, Peoples R China

[2] Harbin Univ Sci & Technol, Sch Comp Sci & Technol, Harbin 150080, Peoples R China

[3] Dalian Univ Technol, Sch Comp Sci & Technol, Dalian 116024, Peoples R China

来源：

INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS | 2015年 / 9卷 / 11期

关键词：

word sense disambiguation; beam search algorithm; semantic network; optimal semantic category sequence;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Research on word sense disambiguation (WSD) is of great importance in natural language processing. In this paper, a new method based on beam search algorithm for Chinese WSD is proposed. By mining potential knowledge between phrase and semantic category in a sentence, this approach can construct its semantic network. It searches an optimal semantic category sequence from a Chinese sentence's semantic network with beam search algorithm, so that correct meanings of ambiguous words can be found from the optimal sequence. Experiments show that a better WSD performance is gotten.

引用

页码：209 / 216

页数：8

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