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.
@article{arxiv.cmp-lg/9803003,
title = {Nymble: a High-Performance Learning Name-finder},
author = {Daniel M. Bikel and Scott Miller and Richard Schwartz and Ralph Weischedel},
journal= {arXiv preprint arXiv:cmp-lg/9803003},
year = {2007}
}