Effect of Semantic Differences in Word Net-Based Similarity Measures

被引:0
|
作者
Ernesto Menendez-Mora, Raul [1 ]
Ichise, Ryutaro [1 ]
机构
[1] Res Org Informat & Syst, Natl Inst Informat, Chiyoda Ku, Tokyo 1018430, Japan
来源
TRENDS IN APPLIED INTELLIGENT SYSTEMS, PT II, PROCEEDINGS | 2010年 / 6097卷
关键词
WordNet; Measures; Semantic Similarity; Featured Based Similarity;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Assessing the semantic similarity\ of words is a generic problem in many research fields such as artificial intelligence, biomedicine linguistics, cognitive science Mid psychology The difficulty of this task lies in how to find an effective way to simulate the process of human judgement of word similarity in this paper we introduce the idea of semantic differences and commonalities between words to the similarity computation process Five new semantic similarity metrics are obtained after applying this scheme to traditional WordNet-based measures in an experimental evaluation of out approach on a standard 28 word pans dataset three of the measures outperformed their classical version, while the other two performed as well as their unmodified comae! parts
引用
收藏
页码:545 / 554
页数:10
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