Metonymy resolution as a classification task

  • Authors:
  • Katja Markert;Malvina Nissim

  • Affiliations:
  • University of Edinburgh, Edinburgh, Scotland, UK;University of Edinburgh, Edinburgh, Scotland, UK

  • Venue:
  • EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

We reformulate metonymy resolution as a classification task. This is motivated by the regularity of metonymic readings and makes general classification and word sense disambiguation methods available for metonymy resolution. We then present a case study for location names, presenting both a corpus of location names annotated for metonymy as well as experiments with a supervised classification algorithm on this corpus. We especially explore the contribution of features used in word sense disambiguation to metonymy resolution.