Nymble: a High-Performance Learning Name-finder
<|reference_start|>Nymble: a High-Performance Learning Name-finder: 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.<|reference_end|>
@article{bikel1998nymble:,
    title={Nymble: a High-Performance Learning Name-finder},
    author={Daniel M. Bikel (BBN), Scott Miller (BBN), Richard Schwartz (BBN),
  Ralph Weischedel (BBN)},
    journal={Proceedings of the Fifth Conference on Applied Natural Language
  Processing, 1997, pp. 194-201},
    year={1998},
    archivePrefix={arXiv},
    eprint={cmp-lg/9803003},
    primaryClass={cmp-lg cs.CL}
}