Single classifier approach for verb sense disambiguation based on generalized features

Daisuke Kawahara, Martha Palmer

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

4 Citations (Scopus)

Abstract

We present a supervised method for verb sense disambiguation based on VerbNet. Most previous supervised approaches to verb sense disambiguation create a classifier for each verb that reaches a frequency threshold. These methods, however, have a significant practical problem that they cannot be applied to rare or unseen verbs. In order to overcome this problem, we create a single classifier to be applied to rare or unseen verbs in a new text. This single classifier also exploits generalized semantic features of a verb and its modifiers in order to better deal with rare or unseen verbs. Our experimental results show that the proposed method achieves equivalent performance to per-verb classifiers, which cannot be applied to unseen verbs. Our classifier could be utilized to improve the classifications in lexical resources of verbs, such as VerbNet, in a semi-automatic manner and to possibly extend the coverage of these resources to new verbs.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
EditorsNicoletta Calzolari, Khalid Choukri, Sara Goggi, Thierry Declerck, Joseph Mariani, Bente Maegaard, Asuncion Moreno, Jan Odijk, Helene Mazo, Stelios Piperidis, Hrafn Loftsson
PublisherEuropean Language Resources Association (ELRA)
Pages4210-4213
Number of pages4
ISBN (Electronic)9782951740884
Publication statusPublished - 2014
Externally publishedYes
Event9th International Conference on Language Resources and Evaluation, LREC 2014 - Reykjavik, Iceland
Duration: 2014 May 262014 May 31

Publication series

NameProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014

Other

Other9th International Conference on Language Resources and Evaluation, LREC 2014
CountryIceland
CityReykjavik
Period14/5/2614/5/31

Keywords

  • Single classifier
  • Verb sense disambiguation
  • Word representations

ASJC Scopus subject areas

  • Linguistics and Language
  • Library and Information Sciences
  • Education
  • Language and Linguistics

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  • Cite this

    Kawahara, D., & Palmer, M. (2014). Single classifier approach for verb sense disambiguation based on generalized features. In N. Calzolari, K. Choukri, S. Goggi, T. Declerck, J. Mariani, B. Maegaard, A. Moreno, J. Odijk, H. Mazo, S. Piperidis, & H. Loftsson (Eds.), Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014 (pp. 4210-4213). (Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014). European Language Resources Association (ELRA).