Domain adaptation with artificial data for semantic parsing of speech

  • Authors:
  • Lonneke van der Plas;James Henderson;Paola Merlo

  • Affiliations:
  • University of Geneva, Geneva, Switzerland;University of Geneva, Geneva, Switzerland;University of Geneva, Geneva, Switzerland

  • Venue:
  • NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
  • Year:
  • 2009

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Abstract

We adapt a semantic role parser to the domain of goal-directed speech by creating an artificial treebank from an existing text tree-bank. We use a three-component model that includes distributional models from both target and source domains. We show that we improve the parser's performance on utterances collected from human-machine dialogues by training on the artificially created data without loss of performance on the text treebank.