1997 Nymble

(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

~513 http://scholar.google.com/scholar?cites=17806216977449856741

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