Nymble

1 January 1997

proceedings article
Published by Association for Computational Linguistics (ACL)

p. 194-201
https://doi.org/10.3115/974557.974586

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.

Keywords

STANDARD HIDDEN MARKOV MODEL
HIGH-PERFORMANCE LEARNING NAME-FINDER
NE TASK
NONRECURSIVE ENTITY
MUC-6 DEFINITION
SUCCESSFUL RESULT
DETAILED DISCUSSION
NEW APPROACH
HIDDEN MARKOV MODEL

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