1997 NymbleAHighPerformanceLearningN

(Bikel et al., 1997) ⇒ Daniel M. Bikel, Scott Miller, Richard M. Schwartz, and Ralph M. Weischedel. (1997). “Nymble: A High-Performance Learning Name-finder.” In: Proceedings of the 5th Applied Natural Language Processing Conference (ANLP 1997).

Subject Headings: Nymble System, Named Entity Recognition (NER) System, Name-Finder, Name Finding Task.

Notes

Cited By

Google Scholar: ~ 1,136 Citations, Retrieved: 2021-01-18.

Quotes

Abstract

This paper presents a statistical, learned approach to finding names and other non-recursive 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

BibTeX

@inproceedings{1997_NymbleAHighPerformanceLearningN,
  author    = {Daniel M. Bikel and
               Scott Miller and
               Richard M. Schwartz and
               Ralph M. Weischedel},
  title     = {Nymble: a High-Performance Learning Name-finder},
  booktitle = {Proceedings of the 5th Applied Natural Language Processing Conference (ANLP 1997)},
  pages     = {194--201},
  publisher = {ACL},
  year      = {1997},
  url       = {https://www.aclweb.org/anthology/A97-1029/},
  doi       = {10.3115/974557.974586},
}

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
1997 NymbleAHighPerformanceLearningN	Scott Miller Ralph Weischedel Daniel M. Bikel Richard M. Schwartz			Nymble: A High-Performance Learning Name-finder						1997