An Improved HowNet-based Algorithm for Semantic Similarity Computation

被引：0

作者：

Diao, Lijuan ^{[1
]}

Yan, Hong ^{[2
]}

Li, Fuxue ^{[2
]}

Li, Xiumin ^{[1
]}

Lei, Guohua ^{[1
]}

机构：

[1] BinZhou Med Univ, Yantai, Peoples R China

[2] Yingkou Inst Technol, Yingkou, Peoples R China

来源：

2ND INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING, INFORMATION SCIENCE AND INTERNET TECHNOLOGY, CII 2017 | 2017年

关键词：

Semantic Similarity; Information Content Model; Semantic Distance; TAXONOMY;

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：

Similarity technology has been widely used in many applications. However, most of the similarity researches focus on English language. In this paper, we develop the improved similarity technology and focus on its application to Chinese language. We use HowNet, which is a Chinese version of WordNet, as the bases. We analyze the structure and data resource of HowNet, and develop an improved information content model of concepts. Meanwhile, we extend the synonyms of concepts, and use them to develop a better similarity computation technique. The experiment results show that our methods achieve the best compared with other existing methods in the degree of similarity accuracy.

引用

页码：589 / 594

页数：6

共 9 条

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