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ANLP
1997

Nymble: a High-Performance Learning Name-finder

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Nymble: a High-Performance Learning Name-finder
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.
Daniel M. Bikel, Scott Miller, Richard M. Schwartz
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 1997
Where ANLP
Authors Daniel M. Bikel, Scott Miller, Richard M. Schwartz, Ralph M. Weischedel
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