Dependency-based syntactic-semantic analysis with PropBank and NomBank

  • Authors:
  • Richard Johansson;Pierre Nugues

  • Affiliations:
  • Lund University, Sweden;Lund University, Sweden

  • Venue:
  • CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
  • Year:
  • 2008

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Abstract

This paper presents our contribution in the closed track of the 2008 CoNLL Shared Task (Surdeanu et al., 2008). To tackle the problem of joint syntactic--semantic analysis, the system relies on a syntactic and a semantic subcomponent. The syntactic model is a bottom-up projective parser using pseudo-projective transformations, and the semantic model uses global inference mechanisms on top of a pipeline of classifiers. The complete syntactic--semantic output is selected from a candidate pool generated by the subsystems. The system achieved the top score in the closed challenge: a labeled syntactic accuracy of 89.32%, a labeled semantic F1 of 81.65, and a labeled macro F1 of 85.49.