WordNet::SenseRelate::AllWords - A broad coverage word sense tagger that maximizes semantic relatedness

Ted Pedersen, Varada Kolhatkar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

70 Scopus citations

Abstract

WordNet::SenseRelate::AllWords is a freely available open source Perl package that assigns a sense to every content word (known to WordNet) in a text. It finds the sense of each word that is most related to the senses of surrounding words, based on measures found in WordNet::Similarity. This method is shown to be competitive with results from recent evaluations including SENSEVAL-2 and SENSEVAL-3.

Original languageEnglish (US)
Title of host publicationNAACL-HLT 2009 - Human Language Technologies
Subtitle of host publication2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Demonstration Session
EditorsMichael Johnston, Fred Popowich
PublisherAssociation for Computational Linguistics (ACL)
Pages17-20
Number of pages4
ISBN (Electronic)9781932432428
StatePublished - 2009
Event2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2009 - Boulder, United States
Duration: Jun 1 2009Jun 3 2009

Publication series

NameNAACL-HLT 2009 - Human Language Technologies: 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Demonstration Session

Conference

Conference2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2009
Country/TerritoryUnited States
CityBoulder
Period6/1/096/3/09

Bibliographical note

Publisher Copyright:
© 2009 Association for Computational Linguistics

Fingerprint

Dive into the research topics of 'WordNet::SenseRelate::AllWords - A broad coverage word sense tagger that maximizes semantic relatedness'. Together they form a unique fingerprint.

Cite this