计算机与现代化Issue(4)：90-94,5.DOI:10.3969/j.issn.1006-2475.2018.04.017
基于知网与搜索引擎的词汇语义相似度计算
Vocabulary Semantic Similarity Computation Based on HowNet and Search Engine
吴克介 1王家伟1
作者信息
- 1. 重庆交通大学信息科学与工程学院,重庆400074
- 折叠
摘要
Abstract
This paper proposes a method of computing lexical semantic similarity based on HowNet and search engines.The simi-larity computation is optimized by using the depth,density and information of semantic primitive in the hierarchy tree.The search engine based lexical semantic similarity computation is optimized by combining the point by point common information(PMI)al-gorithm with the normalized Google distance(NGD)algorithm.The lexical part of speech is used as weighting factor to merge the word similarity computation between HowNet and search engine.The experimental results show that,compared with the semantic similarity calculation method based on HowNet and search engine,the average similarity of the proposed method on NLPCC test set is closer to the evaluation criteria of the test set,and lexical similarity in the car ticket calculation fields has a good application effect.关键词
语义相似度/知网/义原/搜索引擎Key words
semantic similarity/HowNet/sememe/search engines分类
信息技术与安全科学引用本文复制引用
吴克介,王家伟..基于知网与搜索引擎的词汇语义相似度计算[J].计算机与现代化,2018,(4):90-94,5.
