Multilingual semantic role labelling with Markov logic

  • Authors:
  • Ivan Meza-Ruiz;Sebastian Riedel

  • Affiliations:
  • University of Edinburgh, UK;University of Tokyo, Japan and Research Organization of Information and System, Japan

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

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Abstract

This paper presents our system for the CoNLL 2009 Shared Task on Syntactic and Semantic Dependencies in Multiple Languages (Hajič et al., 2009). In this work we focus only on the Semantic Role Labelling (SRL) task. We use Markov Logic to define a joint SRL model and achieve the third best average performance in the closed Track for SRLOnly systems and the sixth including for both SRLOnly and Joint systems.