Title :
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
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;
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
DOI :
10.1109/ICMLC.2009.5212523
