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基于知识图的汉语词汇语义相似度计算
引用本文:张瑞霞,朱贵良,杨国增.基于知识图的汉语词汇语义相似度计算[J].中文信息学报,2009,23(3):116-121.
作者姓名:张瑞霞  朱贵良  杨国增
作者单位:1. 华北水利水电学院 信息工程学院 河南 郑州 450011;
2. 郑州师范高等专科学校 数学系 河南 郑州 450044
摘    要:提出了一种基于知识图的汉语词汇相似度计算方法,该方法以《知网》2005版为语义知识资源,以知识图为知识表示方法,在构造词图的基础上,以知网中的语义关系为依据对词汇概念中的义原进行分类,通过计算不同类型义原的相似度得到概念的相似度;为了对词汇相似度计算方法进行客观评价,设计了词汇相似度计算方法的量化评价模型;采用该模型对所提出的计算方法进行评价,试验结果证明此方法的有效度为89.1%。

关 键 词:计算机应用  中文信息处理  知识图  知网  语义相似度
  

A New Measure of Semantic Similarity between Chinese Words Based on Knowledge Graphs
ZHANG Ruixia,ZHU Guiliang,YANG Guozeng.A New Measure of Semantic Similarity between Chinese Words Based on Knowledge Graphs[J].Journal of Chinese Information Processing,2009,23(3):116-121.
Authors:ZHANG Ruixia  ZHU Guiliang  YANG Guozeng
Affiliation:1.Department of Information Engineering, North China University of Water Conservancy
and Electric Power, Zhengzhou, Henan 450011, China;
2.Department of Mathematics Zhengzhou teacher’s College, Zhengzhou, Henan 450044, China
Abstract:A new measure of semantic similarity between Chinese words is put forward on the basis of Knowledge Graphs.With HowNet(2005) as the semantic knowledge resource and the Knowledge Graphs as knowledge representation method,this method classifies "sememes" based on their semantic roles in HowNet,and then measures semantics similarity among the co-constructed word graphs by the similarity of different kinds of "sememe".In order to evaluate the proposed measures of semantic similarity,a new model is designed for ...
Keywords:computer application  Chinese information processing  knowledge graphs  HowNet  semantic similarity  
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