Robust Extraction of Metaphor from Novel Data

نویسندگان

  • Tomek Strzalkowski
  • George Aaron Broadwell
  • Sarah Taylor
  • Laurie Feldman
  • Samira Shaikh
  • Ting Liu
  • Boris Yamrom
  • Kit Cho
  • Umit Boz
  • Ignacio Cases
  • Kyle Elliot
چکیده

This article describes our novel approach to the automated detection and analysis of metaphors in text. We employ robust, quantitative language processing to implement a system prototype combined with sound social science methods for validation. We show results in 4 different languages and discuss how our methods are a significant step forward from previously established techniques of metaphor identification. We use Topical Structure and Tracking, an Imageability score, and innovative methods to build an effective metaphor identification system that is fully automated and performs well over baseline.

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تاریخ انتشار 2013