New Model of Semantic Similarity Measuring in WordNet

摘要：

This paper presents a new model of measuringsemantic similarity in the taxonomy of WordNet.Themodel takes the path length between two concepts andIC value of each concept as its metric,furthermore,theweight of two metrics can be adapted artificially.Inorder to evaluate our model,traditional and widelyused datasets are used.Firstly,coefficients ofcorrelation between human ratings of similarity andsix computational models are calculated,the resultshows our new model outperforms their homologues.Then,the distribution graphs of similarity value of 65word pairs are discussed our model having no faultedzone more centralized than other five methods.So ourmodel can make up the insufficient of other methodswhich only using one metric(path length or IC value)in their model.

作者: Zili Zhou Yanna Wang Junzhong Gu

作者单位: Computer Science and Technology Department,East China Normal University,Shang Hai,200241,China College of Physics and Engineering,Qufu Normal University,Qu Fu,273165,China

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 256-261

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）