Identifying semantic roles using Combinatory Categorial Grammar

  • Authors:
  • Daniel Gildea;Julia Hockenmaier

  • Affiliations:
  • University of Pennsylvania;University of Pennsylvania

  • Venue:
  • EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
  • Year:
  • 2003

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Abstract

We present a system for automatically identifying PropBank-style semantic roles based on the output of a statistical parser for Combinatory Categorial Grammar. This system performs at least as well as a system based on a traditional Treebank parser, and outperforms it on core argument roles.