计算机工程与科学2017，Vol.39Issue(5)：971-977,7.DOI:10.3969/j.issn.1007-130X.2017.05.023
一种基于WordNet的混合式语义相似度计算方法
A WordNet-based hybrid semantic similarity measurement
摘要
Abstract
Calculation of semantic similarity is an important research content of natural language processing (NLP),and many measurements have been proposed for the past few decades.These measurements have been widely used in word sense disambiguation,text clustering and other research fields.We propose a new measurement to calculate information content (IC) with WordNet ontology,and then propose two new hybrid measurements to calculate semantic similarity.Experimental results show that the proposed method is better than the existing methods for considering both the shortest path distance and the IC semantic distance simultaneously,and the results are more close to human judgment.关键词
WordNet/语义相似度/信息量/本体Key words
WordNet/semantic similarity/information content/ontology分类
信息技术与安全科学引用本文复制引用
张思琪,邢薇薇,蔡圆媛..一种基于WordNet的混合式语义相似度计算方法[J].计算机工程与科学,2017,39(5):971-977,7.基金项目
国家自然科学基金(61272353,61370128,61428201) （61272353,61370128,61428201）
教育部新世纪人才计划(NCET-13-0659) （NCET-13-0659）
北京高校青年英才计划(YETP0583) （YETP0583）
