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Semantic Distance in WordNet: An Experimental, Application-oriented Evaluation of Five Measures

by: A. Budanitsky
(2001)

X Abstract

Five different proposed measures of similarity or semantic distance in WordNet were experimentally compared by examining their performance in a real-word spelling correction system. It was found that Jiang and Conrath 's measure gave the best results overall. That of Hirst and St-Onge seriously over-related, that of Resnik seriously under-related, and those of Lin and of Leacock and Chodorow fell in between. 1

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This article has been bookmarked 15 times, initially on 2005-07-27.

2009-06-17 User johnkork
2007-08-29 User ejmeij
Group ilps
Group LanguageModeling
2006-11-07 User CitoJam , 1 note

Comparisson of five different semantic similarity meassures. Quite illustrative.

2006-11-07 10:09:08
2006-07-26 User ianturton
2006-07-25 User mote
Group ASR
Group ISI
Group NLP
Group SLA
Group LanguageAndBrain
2006-05-17 User caomo
Group AI
2005-07-27 User schaal
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