一种基于义原重合度的词语相似度计算
A Word Similarity Computing Method Based on Superposed Degree of Sememe
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摘要: 通过分析知网中的义原关系,认为在同一棵树中两个相等距离的义原,公共节点对相似度大小起着决定性作用;距离根节点越远,分类越细致,描述的信息越详细;它们的相似度也就越大.提出了一种基于知网的相似度的计算方法,定义了知网义原间的相似度公式.实验表明,利用本文方法计算词语相似度,所得结果在一定程度上更加与人的直观相符.Abstract: Through analysing the relationship between sememes of Hownet two sememes of equal distance in the same tree are supposed,and public nodes play a decisive role in similarity.The farther from the root node a sememe's node is,the more detailed classification and description of information the sememe take,the similarity is bigger.This paper proposes a new method on similarity computation which is based on Hownet.The method defines a similarity computation formula among Hownet's sememes.The experiments,demonstrates that the method given in this paper has improved performance in measuring word similarity.