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一种基于知网的概念相似度计算方法
引用本文:李剑,李金厚. 一种基于知网的概念相似度计算方法[J]. 工业控制计算机, 2011, 24(4): 87-88,91
作者姓名:李剑  李金厚
作者单位:安徽工业大学计算机学院,安徽马鞍山,243032
摘    要:概念相似度计算是句子相似度计算的基础,以知网中的义原关系为依据,认为两个概念,其独立义原对相似度大小起着决定性作用;独立义原越相近,描述的信息差越小,它们的相似度也就越大.提出了一种基于知网的概念相似度的计算方法,定义了概念相似度公式.实验表明,据此计算概念相似度,在一定程度上和人的直观更加符合的结果.

关 键 词:概念相似度  知网  概念  义原  独立义原信息比

A Concept Similarity Computing Method Based on Hownet
Abstract:Concept similarity computing,is the basic of sentence computing,this paper,based on the relationship of sememe in Hownet,consider that two concepts’ independent sememes plays a decisive role in similarity computing;the closer the independent sememes are,the smaller gap between two sememes is,the greater their similarity.This paper proposes a new method on similarity computation of concept which is based on Hownet,The method defines a similarity computation of concept among Hownet’s sememes.According to experiments,demonstrate this method have improved performance in measuring concept similarity.
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