Transition-based parsing with confidence-weighted classification

  • Authors:
  • Martin Haulrich

  • Affiliations:
  • Copenhagen Business School

  • Venue:
  • ACLstudent '10 Proceedings of the ACL 2010 Student Research Workshop
  • Year:
  • 2010

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Abstract

We show that using confidence-weighted classification in transition-based parsing gives results comparable to using SVMs with faster training and parsing time. We also compare with other online learning algorithms and investigate the effect of pruning features when using confidence-weighted classification.