Duluth-WSI: SenseClusters applied to the sense induction task of SemEval-2

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

16 Scopus citations

Abstract

The Duluth-WSI systems in SemEval-2 built word co-occurrence matrices from the task test data to create a second order co-occurrence representation of those test instances. The senses of words were induced by clustering these instances, where the number of clusters was automatically predicted. The Duluth-Mix system was a variation of WSI that used the combination of training and test data to create the co-occurrence matrix. The Duluth-R system was a series of random baselines.

Original languageEnglish (US)
Title of host publicationACL 2010 - SemEval 2010 - 5th International Workshop on Semantic Evaluation, Proceedings
PublisherAssociation for Computational Linguistics (ACL)
Pages363-366
Number of pages4
ISBN (Electronic)1932432701, 9781932432701
StatePublished - 2010
Externally publishedYes
Event5th International Workshop on Semantic Evaluation, SemEval 2010 - Uppsala, Sweden
Duration: Jul 15 2010Jul 16 2010

Publication series

NameACL 2010 - SemEval 2010 - 5th International Workshop on Semantic Evaluation, Proceedings

Other

Other5th International Workshop on Semantic Evaluation, SemEval 2010
Country/TerritorySweden
CityUppsala
Period7/15/107/16/10

Bibliographical note

Publisher Copyright:
© 2010 Association for Computational Linguistics.

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