Active learning for HPSG parse selection

  • Authors:
  • Jason Baldridge;Miles Osborne

  • Affiliations:
  • University of Edinburgh, Edinburgh, UK;University of Edinburgh, Edinburgh, UK

  • Venue:
  • CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
  • Year:
  • 2003

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Abstract

We describe new features and algorithms for HPSG parse selection models and address the task of creating annotated material to train them. We evaluate the ability of several sample selection methods to reduce the number of annotated sentences necessary to achieve a given level of performance. Our best method achieves a 60% reduction in the amount of training material without any loss in accuracy.