by Alexander Budanitsky
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.
Reference:
Semantic distance in WordNet: An experimental, application-oriented evaluation of five measures (Alexander Budanitsky), In Workshop on WordNet and Other Lexical, 2001.
Bibtex Entry:
@article{Budanitsky1998,
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.},
author = {Budanitsky, Alexander},
journal = {Workshop on WordNet and Other Lexical},
keywords = {SML-LIB-BIBLIO,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
title = {{Semantic distance in WordNet: An experimental, application-oriented evaluation of five measures}},
url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.29.2985\&rep=rep1\&type=pdf},
year = {2001}
}