Accurate function parsing

  • Authors:
  • Paola Merlo;Gabriele Musillo

  • Affiliations:
  • University of Geneva, Geneva, Switzerland;University of Geneva, Geneva, Switzerland

  • Venue:
  • HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we extend an existing parser to produce richer output annotated with function labels. We obtain state-of-the-art results both in function labelling and in parsing, by automatically relabelling the Penn Treebank trees. In particular, we obtain the best published results on semantic function labels. This suggests that current statistical parsing methods are sufficiently general to produce accurate shallow semantic annotation.