1997 Nymble

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Subject Headings: Nymble System, Supervised NER Algorithm.

Notes

  • It is one of the seminal examples where learning was competitive with manually coded systems.

Cited By

2003

Quotes

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.
  • 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.
  • 3. Church, K. (1988) In Second Conference on Applied Natural Language Processing, Austin, Texas.
  • 4. Thomas M. Cover, Joy A. Thomas, Elements of information theory, Wiley-Interscience, New York, NY, 1991
  • 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.
  • 6. Viterbi, A. J. (1967) IEEE Transactions on Information Theory, IT-13(2), 260--269.
  • 7. Weischedel, R. (1995) In: Proceedings of the Sixth Message Understanding Conference (MUC-6) Morgan Kaufmann Publishers, Inc., Columbia, Maryland, pp. 55--69.
  • 8. Ralph Weischedel, Richard Schwartz, Jeff Palmucci, Marie Meteer, Lance Ramshaw, Coping with ambiguity and unknown words through probabilistic models, Computational Linguistics, v.19 n.2, June 1993,


 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
1997 NymbleScott Miller
Richard Schwartz
Ralph Weischedel
Daniel M. Bikel
Nymble: a High-performance Learning Name-finderProceedings of Fifth Applied Natural Language Processing Conferencehttp://www.aclweb.org/anthology/A/A97/A97-1029.pdf10.3115/974557.9745861997