CHINESE QUESTION SIMILARITY CALCULATION BASED ON WORD SENSE DISAMBIGUATION

被引：0

作者：

Pang, Xiu-Ling ^{[1
]}

Jia, Ke-Liang ^{[2
]}

机构：

[1] Weifang Univ, Dept Educ Sci & Technol, Weifang, Peoples R China

[2] Shandong Econom Univ, Sch Informat Management, Jinan, Peoples R China

来源：

PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年

关键词：

Semantic similarity; Chinese question; Word sense disambiguation; HowNet;

D O I：

10.1109/ICMLC.2009.5212184

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The sentence similarity computation plays an significant role in the fields of Chinese Language Processing. The paper presents a new approach to calculate the Chinese question semantic similarity, which is divided into two steps: the first step is to disambiguate the word sense in the question, and the second step is to compute the question semantic similarity based on the word sense. This paper uses HowNet to disambiguate the word sense and to calculate the sense similarity. The experimental results show that the proposed algorithm worked more reasonable in the real calculation and out-performs the conventional computed approaches.

引用

页码：2217 / +

页数：2

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