计算机工程与应用2018，Vol.54Issue(1)：172-178,7.DOI:10.3778/j.issn.1002-8331.1607-0159
基于边权重的WordNet词语相似度计算
Edge weight-based word similarity computation in WordNet
摘要
Abstract
Aimed at the defective including single information source, high nonlinear computational results and asymmetry between performance and efficiency of computation for word similarity currently, a word similarity computation method based on edge weight in WordNet is proposed. On the basis of path and depth, hierarchy in homogeneity in WordNet structure is improved by adding edge weight, similarity between two concepts is identified uniquely by definite encoding, and nonlinear deviation of computational result is corrected by using cosine function. Experimental results show that Pearson correlation coefficients obtained by comparing word similarity values calculated by using this method with corresponding artificial judgment value for MC30 and RG65 test set all reach 0.87. In addition, a higher level in performance and efficiency of computation is kept simultaneously.关键词
词语相似度/边权重/WordNet/编码Key words
word similarity/edge weight/WordNet/encoding分类
信息技术与安全科学引用本文复制引用
郭小华,彭琦,邓涵,朱新华..基于边权重的WordNet词语相似度计算[J].计算机工程与应用,2018,54(1):172-178,7.基金项目
国家自然科学基金(No.61462010,No.61363036) （No.61462010,No.61363036）
广西师范大学自然科学青年基金. （）
