Adding dense, weighted connections to WordNet

Jordan Boyd-Graber, Christiane Fellbaum, Daniel Osherson, Robert Schapire

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

70 Scopus citations

Abstract

WORDNET, a ubiquitous tool for natural language processing, suffers from sparsity of connections between its component concepts (synsets). Through the use of human annotators, a subset of the connections between 1000 hand-chosen synsets was assigned a value of "evocation" representing how much the first concept brings to mind the second. These data, along with existing similarity measures, constitute the basis of a method for predicting evocation between previously unrated pairs.

Original languageEnglish (US)
Title of host publicationGWC 2006
Subtitle of host publication3rd International Global WordNet Conference, Proceedings
PublisherMasaryk University
Pages29-35
Number of pages7
ISBN (Print)8021039159, 9788021039155
StatePublished - Jan 1 2005
Event3rd International Global WordNet Conference, GWC 2006 - Jeju Island, Korea, Republic of
Duration: Jan 22 2006Jan 26 2006

Publication series

NameGWC 2006: 3rd International Global WordNet Conference, Proceedings

Other

Other3rd International Global WordNet Conference, GWC 2006
CountryKorea, Republic of
CityJeju Island
Period1/22/061/26/06

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Literature and Literary Theory

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    Boyd-Graber, J., Fellbaum, C., Osherson, D., & Schapire, R. (2005). Adding dense, weighted connections to WordNet. In GWC 2006: 3rd International Global WordNet Conference, Proceedings (pp. 29-35). (GWC 2006: 3rd International Global WordNet Conference, Proceedings). Masaryk University.