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Nymble: a high-performance learning name-finder

Published:31 March 1997Publication History

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.

References

  1. Aberdeen, J., Burger, J., Day, D., Hirschman, L., Robinson, P. and Vilain, M. (1995) In Proceedings of the Sixth Message Understanding Conference (MUC-6) Morgan Kaufmann Publishers, Inc., Columbia, Maryland, pp. 141--155.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Appelt, D. E., Jerry R. Hobbs, Bear, J., Israel, D., Kameyama, M., Kehler, A., Martin, D., Myers, K. and Tyson, M. (1995) In Proceedings of the Sixth Message Understanding Conference (MUC-6) Morgan Kaufmann Publishers, Inc., Columbia, Maryland, pp. 237--248.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Church, K. (1988) In Second Conference on Applied Natural Language Processing, Austin, Texas.]]Google ScholarGoogle Scholar
  4. Cover, T. and Thomas, J. A. (1991) Elements of Information Theory, John Wiley & Sons, Inc., New York.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Miller, S., Bobrow, R., Schwartz, R. and Ingria, R. (1994) In Human Language Technology Workshop, Morgan Kaufmann Publishers, Plainsboro, New Jersey, pp. 278--282.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Viterbi, A. J. (1967) IEEE Transactions on Information Theory, IT-13(2), 260--269.]]Google ScholarGoogle Scholar
  7. Weischedel, R. (1995) In Proceedings of the Sixth Message Understanding Conference (MUC-6) Morgan Kaufmann Publishers, Inc., Columbia, Maryland, pp. 55--69.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Weischedel, R., Meteer, M., Schwartz, R., Ramshaw, L. and Palmucci, J. (1993) Computational Linguistics, 19(2), 359--382.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  1. Nymble: a high-performance learning name-finder

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      • Published in

        cover image DL Hosted proceedings
        ANLC '97: Proceedings of the fifth conference on Applied natural language processing
        March 1997
        417 pages

        Publisher

        Association for Computational Linguistics

        United States

        Publication History

        • Published: 31 March 1997

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