Dependency Parsing by Transformation and Combination

  • Authors:
  • Jens Nilsson;Joakim Nivre

  • Affiliations:
  • School of Mathematics and Systems Engineering, Växjö University, Sweden;School of Mathematics and Systems Engineering, Växjö University, Sweden and Dept. of Linguistics and Philology, Uppsala University, Sweden

  • Venue:
  • GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

This study presents new language and treebank independent graph transformations that improve accuracy in data-driven dependency parsing. We show that individual generic graph transformations can increase accuracy across treebanks, but especially when they are combined using established parser combination techniques. The combination experiments also indicate that the presumed best way to combine parsers, using the highest scoring parsers, is not necessarily the best approach.