Research on HowNet-based Chinese Word Lexical Semantic Similarity Measurement

Author

Peng, Lin ; Zhang, Yue-jie ; Zhang, Tao

Author_Institution

Dept. of Comput. Sci. & Eng., Fudan Univ., Shanghai, China

Volume

1

fYear

2009

fDate

12-15 July 2009

Firstpage

282

Lastpage

287

Abstract

HowNet-based Chinese Word Lexical Semantic Similarity Measurement (WLSSM) pattern is proposed in this paper, in which the organization structure of HowNet is used to extract abundant semantic information. This paper utilizes the grammatical rules of Knowledge Database Mark-up Language (KDML) and adopts both maximum matching in each level of sememe and depth information of sememes for WLSSM. Compared with some classic measurements, the proposed method can distinguish word pairs in different semantic similarity levels, and the computation results are more consistent with human being´s subjective feeling.

Keywords

computational linguistics; grammars; natural language processing; pattern matching; thesauri; Chinese thesaurus; HowNet-based Chinese word lexical semantic similarity measurement; grammatical rule; knowledge database mark-up language; maximum matching; organization structure; semantic information extraction; Cybernetics; Machine learning; HowNet; Knowledge Database Mark-up Language (KDML); Word Lexical Semantic Similarity Measurement (WLSSM); depth information; maximum matching;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2009 International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3702-3

Electronic_ISBN

978-1-4244-3703-0

Type

conf

DOI

10.1109/ICMLC.2009.5212523

Filename

5212523