1997 Nymble
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- (Bikel et al., 1997) ⇒ Daniel M. Bikel, Scott Miller, Richard Schwartz, Ralph Weischedel. (1997). “Nymble: a High-performance Learning Name-finder.” In: Proceedings of Fifth Applied Natural Language Processing Conference (ANLC 1997). doi:10.3115/974557.974586
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
- (Collins, 2003) ⇒ Michael Collins. (2003). “Head-Driven Statistical Models for Natural Language Parsing.” In: Computational Linguistics, 29(4). doi:10.1162/089120103322753356.
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,
Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
---|---|---|---|---|---|---|---|---|---|---|
1997 Nymble | Scott Miller Richard Schwartz Ralph Weischedel Daniel M. Bikel | Nymble: a High-performance Learning Name-finder | Proceedings of Fifth Applied Natural Language Processing Conference | http://www.aclweb.org/anthology/A/A97/A97-1029.pdf | 10.3115/974557.974586 | 1997 |