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
收藏
页码：209 / 216
页数：8
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