基于How-net的词语语义相似度算法  

Lexical Semantic Similarity Algorithm Based on How-net

作　　者：马永起 韩德培[2] 蒙立荣 余杰[3] 程铮[1] MA Yongqi 1,HAN Depei 2,MENG Lirong 1,YU Jie 3,CHENG Zheng 1(1.Institute of Computer Application,Chinese Academy of Engineering Physics,Mianyang,Sichuan 621999,China;2.Eastern Communications Co., Ltd.,Hangzhou 310000,China;3.School of Computer,National University of Defense Technology,Changsha 410073,Chin)

机构地区：[1]中国工程物理研究院计算机应用研究所,四川绵阳621999 [2]东方通信股份有限公司,杭州310000 [3]国防科技大学计算机学院,长沙410073

出　　处：《计算机工程》2018年第6期151-155,共5页Computer Engineering

摘　　要：对词语相似度、义原相似度和概念相似度进行研究,结合How-net义原树,提出一种计算义原相似度的算法。考虑义原节点所处的深度、义原节点间的距离以及义原节点兄弟数目,在义原相似度基础上,给出词语语义相似度算法。实验结果表明,与评论的倾向性算法和语义相似度算法相比,该算法在不增加算法复杂度的情况下,提高了词语语义相似度准确性。On the study of lexical similarity,sememe similarity and concept similarity,this paper propose a sememe similarity computation algorithm based on the How-net semantic tree.This algorithm considers the node distance,the node depth and the number of brother node,so that gives out a lexical semantic similarity algorithm based on sememe similarity.Experimental results show that this algorithm can increase the accuracy of word semantic similarity and do not increase the complexity of algorithm compared with the tendency algorithm and semantics similarity algorithm in literature.

关 键 词：相似度 路径长度 概念相似度 义原距离 特征结构 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]