基于Wikipedia链接信息的词汇语义相关性度量  

Measurement of Semantic Relatedness between Words Based on Link Information of Wikipedia

作　　者：王瑞琴[1] 

机构地区：[1]温州大学物理与电子信息工程学院

出　　处：《情报学报》2013年第4期385-389,共5页Journal of the China Society for Scientific and Technical Information

基　　金：浙江省自然科学基金项目(LQ12F020047)

摘　　要：提出了一种只利用Wikipedia的链接结构化信息度量词汇间语义相关性的新方法，在语义相关性的计算过程中，综合考虑了两种指向的共享链接（指入型、指出型）和三种链接相关的类型（直接链接相关、间接链接相关、传递链接相关）。利用多个通用的测试数据集与当前若干主流语义相关性度量方法进行了实验比较，结果表明本文方法在不需要进行任何的文本处理的情况下取得了前所未有的好效果。A new semantic relatedness measurement technique between words based only on link structure information of Wikipedia was provided. During the process of relatedness computation, the positive effects of two-directional shared links （incoming links, outgoing links ） and three kinds of link-relevance types （direct link-relevance, indirect link- relevance, transitive link-relevance） have been taken into account comprehensively. Using several widely used test sets as benchmark, we compared our measure with several popu!ar methods in computing semantic relatedness. Experiment results showed that our method made an unprecedented excellent result without any text processing.

关 键 词：语义相关性 WIKIPEDIA 链接结构 链接相关 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]