Bootstrapping deep lexical resources: resources for courses

  • Authors:
  • Timothy Baldwin

  • Affiliations:
  • University of Melbourne, Victoria, Australia

  • Venue:
  • DeepLA '05 Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition
  • Year:
  • 2005

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Abstract

We propose a range of deep lexical acquisition methods which make use of morphological, syntactic and ontological language resources to model word similarity and bootstrap from a seed lexicon. The different methods are deployed in learning lexical items for a precision grammar, and shown to each have strengths and weaknesses over different word classes. A particular focus of this paper is the relative accessibility of different language resource types, and predicted "bang for the buck" associated with each in deep lexical acquisition applications.