Resolving speculation: MaxEnt cue classification and dependency-based scope rules

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

  • Affiliations:
  • University of Oslo, (Norway);Universität Potsdam, (Germany) and University of Oslo, (Norway);University of Oslo, (Norway)

  • Venue:
  • CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
  • Year:
  • 2010

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Abstract

This paper describes a hybrid, two-level approach for resolving hedge cues, the problem of the CoNLL-2010 shared task. First, a maximum entropy classifier is applied to identify cue words, using both syntactic- and surface-oriented features. Second, a set of manually crafted rules, operating on dependency representations and the output of the classifier, is applied to resolve the scope of the hedge cues within the sentence.