摘要
本文以知网理论相似度计算为基础,提出了一种计算词语相关度方法;该方法将知网中不同特征文件间的义原通过其解释义原与其它特征文件中的义原建立联系,进而计算它们之间的相关度,并用该方法提取文本特征,实验结果表明,该方法更趋于合理,绝大部分结果更符合人们的日常体验,有效提高了计算结果的精确度和准确性.
In this paper,proposed a method of calculating semantic relevancy based on Hownet＇s similarity theory.This method establish the different of sememe＇s relationship through the different characteristics of files＇s sememes and their explanation of the sememes.thereby calculating semantic relevancy between sememes,and use this method to extract the text features.Experimental results show that the calculating results of semantic relevancy by this method have become more reasonable,and the majority of the results are more in line with people＇s daily experience,which effectively improves the precision and exactness of calculation.
出处
《洛阳师范学院学报》
2010年第2期81-84,共4页
Journal of Luoyang Normal University
关键词
知网
义原
语义相似度
语义相关度
Hownet
sememe
semantic similarity
semantic relevance
