Unsupervised induction of a syntax-semantics lexicon using iterative refinement

  • Authors:
  • Hagen Fürstenau;Owen Rambow

  • Affiliations:
  • CCLS Columbia University New York, NY;CCLS Columbia University New York, NY

  • Venue:
  • SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
  • Year:
  • 2012

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Abstract

We present a method for learning syntax-semantics mappings for verbs from unannotated corpora. We learn linkings, i. e., mappings from the syntactic arguments and adjuncts of a verb to its semantic roles. By learning such linkings, we do not need to model individual semantic roles independently of one another, and we can exploit the relation between different mappings for the same verb, or between mappings for different verbs. We present an evaluation on a standard test set for semantic role labeling.