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Received:November 13, 2014 Revised:December 29, 2014
Received:November 13, 2014 Revised:December 29, 2014
中文摘要: 词语相似度计算中常用的一种方法是基于某种语义词典的计算. 首先介绍《知网》中的基本概念和层次体系结构, 借鉴刘群、李素建在词语相似度方面的基础理论, 利用《知网》的义原层次体系结构计算出其中的义原相似度, 再计算出概念的相似度, 最后得到词语的相似度. 还对其中的计算方法做出适当的改进调整, 使其计算出的结果更加符合实际情况.
Abstract:A common method of word similarity computing is based on a semantic dictionary. This paper introduces the “HowNet” in the basic concepts and hierarchical architecture, drawing lessons from Liu Qun, Li Sujian basic theory in word similarity. It makes use of “HowNet” sememe hierarchical architecture to calculate sememe similarity, then calculates the similarity of the concept, and finally gets the similarity of the words. This paper also makes appropriate adjustment to the computing method, so that the calculated results can be more in line with the actual situation.
keywords: word similarity HowNet sememe sememe similarity
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孙润志,于放.基于《知网》的词语相似度计算方法.计算机系统应用,2015,24(7):155-158
SUN Run-Zhi,YU Fang.Word Similarity Computing Method Based on HowNet.COMPUTER SYSTEMS APPLICATIONS,2015,24(7):155-158
孙润志,于放.基于《知网》的词语相似度计算方法.计算机系统应用,2015,24(7):155-158
SUN Run-Zhi,YU Fang.Word Similarity Computing Method Based on HowNet.COMPUTER SYSTEMS APPLICATIONS,2015,24(7):155-158