Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language
P. Resnik. Journal of Artificial Intelligence Research, (1999)
Abstract
This article presents a measure of semantic similarity in an IS-A taxonomy based on the notion of shared information content. Experimental evaluation against a benchmark set of human similarity judgments demonstrates that the measure performs better than the traditional edge-counting approach. The article presents algorithms that take advantage of taxonomic similarity in resolving syntactic and semantic ambiguity, along with experimental results demonstrating their effectiveness.
%0 Journal Article
%1 Resnik:99
%A Resnik, Philip
%D 1999
%J Journal of Artificial Intelligence Research
%K 1999 bracketing compounds wordnet
%P 95--130
%T Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language
%U http://www.cs.washington.edu/research/jair/abstracts/resnik99a.html
%V 11
%X This article presents a measure of semantic similarity in an IS-A taxonomy based on the notion of shared information content. Experimental evaluation against a benchmark set of human similarity judgments demonstrates that the measure performs better than the traditional edge-counting approach. The article presents algorithms that take advantage of taxonomic similarity in resolving syntactic and semantic ambiguity, along with experimental results demonstrating their effectiveness.
@article{Resnik:99,
abstract = {This article presents a measure of semantic similarity in an IS-A taxonomy based on the notion of shared information content. Experimental evaluation against a benchmark set of human similarity judgments demonstrates that the measure performs better than the traditional edge-counting approach. The article presents algorithms that take advantage of taxonomic similarity in resolving syntactic and semantic ambiguity, along with experimental results demonstrating their effectiveness.},
added-at = {2007-10-15T16:38:19.000+0200},
author = {Resnik, Philip},
biburl = {https://www.bibsonomy.org/bibtex/2974ffd1fa9c1c16b8041b1ea2be377e4/seandalai},
interhash = {dc50c8987ffb655dbf5dc0ddc7bf42e8},
intrahash = {974ffd1fa9c1c16b8041b1ea2be377e4},
journal = {Journal of Artificial Intelligence Research},
keywords = {1999 bracketing compounds wordnet},
pages = {95--130},
timestamp = {2007-10-15T16:38:20.000+0200},
title = {Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language},
url = {http://www.cs.washington.edu/research/jair/abstracts/resnik99a.html},
volume = 11,
year = 1999
}