计算机工程Issue(2)：151-156,6.DOI:10.3969/j.issn.1000-3428.2015.02.029
基于《知网》的词语语义相似度改进算法研究
Research on Improved Algorithm of Word Semantic Similarity Based on HowNet
摘要
Abstract
The current word similarity calculation does not consider in depth with the primary and secondary relationship between the distance and the depth of sememes. In addition,concept similarity is specified directly when the conceptual description expression contains specific words,which leads to unreasonable. The depth of sememes impacts on the word similarity is limited by the distance of sememes. It analyzes the statistical meanings of the concept expression in“HowNet”. Besides,word similarity calculation uses the first basic sememe that can reflect the essence of the word to replace the specific words that appear in the conceptual description expression. Based on the above,an improved algorithm of word semantic similarity is proposed in this paper. Experimental results show that the improved algorithm effectively improves the precision of word similarity calculations.关键词
词语相似度/词语语义/义原深度/概念Key words
word similarity/word semantic/depth of sememe/concept分类
信息技术与安全科学引用本文复制引用
张沪寅,刘道波,温春艳..基于《知网》的词语语义相似度改进算法研究[J].计算机工程,2015,(2):151-156,6.基金项目
教育部博士点基金资助项目(20130141110022)。 （20130141110022）
