WordNet::Similarity - measuring the relatedness of concepts

Ted Pedersen, Siddharth Patwardhan, Jason Michelizzi

Research output: Contribution to conferencePaperpeer-review

655 Scopus citations

Abstract

WordNet::Similarity is a freely available software package that makes it possible to measure the semantic similarity and relatedness between a pair of concepts (or synsets). It provides six measures of similarity, and three measures of relatedness, all of which are based on the lexical database WordNet. These measures are implemented as Perl modules which take as input two concepts, and return a numeric value that represents the degree to which they are similar or related.

Original languageEnglish (US)
Pages38-41
Number of pages4
StatePublished - 2004
Event2004 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics - Demonstrations, HLT-NAACL 2004 - Boston, United States
Duration: May 2 2004May 7 2004

Conference

Conference2004 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics - Demonstrations, HLT-NAACL 2004
Country/TerritoryUnited States
CityBoston
Period5/2/045/7/04

Bibliographical note

Funding Information:
This work has been partially supported by a National Science Foundation Faculty Early CAREER Development award (#0092784), and by a Grant-in-Aid of Research, Artistry and Scholarship from the Office of the Vice President for Research and the Dean of the Graduate School of the University of Minnesota.

Publisher Copyright:
© HLT-NAACL 2004 - Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, Demonstrations. All rights reserved.

Fingerprint

Dive into the research topics of 'WordNet::Similarity - measuring the relatedness of concepts'. Together they form a unique fingerprint.

Cite this