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基于Wikipedia链接信息的词汇语义相关性度量 被引量:4

Measurement of Semantic Relatedness between Words Based on Link Information of Wikipedia
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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.
作者 王瑞琴
出处 《情报学报》 CSSCI 北大核心 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)
关键词 语义相关性 WIKIPEDIA 链接结构 链接相关 semantic relatedness, Wikipedia, link structure, link relevance
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参考文献12

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共引文献1

同被引文献120

  • 1章志凌,虞立群,陈奕秋,罗海飞,邵晓敏.基于Corpus库的词语相似度计算方法[J].计算机应用,2006,26(3):638-640. 被引量:17
  • 2章成志,苏兰芳,苏新宁.基于多语境的相关词自动提取系统的设计与实现[J].现代图书情报技术,2006(9):23-28. 被引量:6
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