Automatic metaphor interpretation as a paraphrasing task

  • Authors:
  • Ekaterina Shutova

  • Affiliations:
  • University of Cambridge, Cambridge, UK

  • Venue:
  • HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
  • Year:
  • 2010

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Abstract

We present a novel approach to metaphor interpretation and a system that produces literal paraphrases for metaphorical expressions. Such a representation is directly transferable to other applications that can benefit from a metaphor processing component. Our method is distinguished from the previous work in that it does not rely on any hand-crafted knowledge about metaphor, but in contrast employs automatically induced selectional preferences. Being the first of its kind, our system is capable of paraphrasing metaphorical expressions with a high accuracy (0.81).