Hybrid multilingual parsing with HPSG for SRL

  • Authors:
  • Yi Zhang;Rui Wang;Stephan Oepen

  • Affiliations:
  • Language Technology, DFKI GmbH, Germany;Saarland University, Germany;University of Oslo, Norway

  • Venue:
  • CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
  • Year:
  • 2009

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Abstract

In this paper we present our syntactic and semantic dependency parsing system submitted to both the closed and open challenges of the CoNLL 2009 Shared Task. The system extends the system of Zhang, Wang, & Uszkoreit (2008) in the multilingual direction, and achieves 76.49 average macro F1 Score on the closed joint task. Substantial improvements to the open SRL task have been observed that are attributed to the HPSG parses with handcrafted grammars.