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Dependency-based syntactic-semantic analysis with PropBank and NomBank

Author

Summary, in English

This paper presents our contribution in the closed track of the 2008 CoNLL Shared Task. 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.

Publishing year

2008

Language

English

Pages

183-187

Publication/Series

Proceedings of the 12th Conference on Computational Natural Language Learning (CoNLL)

Document type

Conference paper

Publisher

Association for Computational Linguistics

Topic

  • Computer Science

Keywords

  • semantic analysis
  • dependency parsing
  • Natural language processing

Conference name

Conference on Computational Natural Language Learning (CoNLL)

Conference date

2008-08-16 - 2008-08-17

Status

Published