基于知识图的汉语词汇语义相似度计算

A New Measure of Semantic Similarity between Chinese Words Based on Knowledge Graphs

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%。

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 quantitative evaluation reuslt. With the help of this evaluation model, the experiment result proves that the effective degree of the our semantic measure is 89.1 %.