Assigning function tags to parsed text

  • Authors:
  • Don Blaheta;Eugene Charniak

  • Affiliations:
  • Brown University, Providence, RI;Brown University, Providence, RI

  • Venue:
  • NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
  • Year:
  • 2000

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Abstract

It is generally recognized that the common nonterminal labels for syntactic constituents (NP, VP, etc.) do not exhaust the syntactic and semantic information one would like about parts of a syntactic tree. For example, the Penn Tree-bank gives each constituent zero or more 'function tags' indicating semantic roles and other related information not easily encapsulated in the simple constituent labels. We present a statistical algorithm for assigning these function tags that, on text already parsed to a simple-label level, achieves an F-measure of 87%, which rises to 99% when considering 'no tag' as a valid choice.