A lattice-based framework for enhancing statistical parsers with information from unlabeled corpora

  • Authors:
  • Michaela Atterer;Hinrich Schütze

  • Affiliations:
  • University of Stuttgart, Germany;University of Stuttgart, Germany

  • Venue:
  • CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
  • Year:
  • 2006

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Abstract

Great strides have been made in building statistical parsers trained on annotated corpora such as the Penn tree-bank. However, recently performance improvements have leveled off. New information sources need to be considered to make further progress in parsing. In this paper, we propose a new method of using unlabeled corpora for improving syntactic disambiguation. The method is tested on the problem of relative clause attachment with encouraging results.