Nymble: a high-performance learning name-finder

  • Authors:
  • Daniel M. Bikel;Scott Miller;Richard Schwartz;Ralph Weischedel

  • Affiliations:
  • BBN Corporation, Cambridge, MA;BBN Corporation, Cambridge, MA;BBN Corporation, Cambridge, MA;BBN Corporation, Cambridge, MA

  • Venue:
  • ANLC '97 Proceedings of the fifth conference on Applied natural language processing
  • Year:
  • 1997

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Abstract

This paper presents a statistical, learned approach to finding names and other nonrecursive entities in text (as per the MUC-6 definition of the NE task), using a variant of the standard hidden Markov model. We present our justification for the problem and our approach, a detailed discussion of the model itself and finally the successful results of this new approach.