Metonymy Resolution as a Classification Task

نویسندگان

  • Katja Markert
  • Malvina Nissim
چکیده

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.

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تاریخ انتشار 2002