Syntactic scope resolution in uncertainty analysis

  • Authors:
  • Lilja Øvrelid;Erik Velldal;Stephan Oepen

  • Affiliations:
  • Universität Potsdam and University of Oslo;University of Oslo;University of Oslo

  • Venue:
  • COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
  • Year:
  • 2010

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Abstract

We show how the use of syntactic structure enables the resolution of hedge scope in a hybrid, two-stage approach to uncertainty analysis. In the first stage, a Maximum Entropy classifier, combining surface-oriented and syntactic features, identifies cue words. With a small set of hand-crafted rules operating over dependency representations in stage two, we attain the best overall result (in terms of both combined ranks and average F1) in the 2010 CoNLL Shared Task.