Nymble: a High-Performance Learning Name-finder

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dc.creatorBikel, Daniel M.
dc.creatorMiller, Scott
dc.creatorSchwartz, Richard
dc.creatorWeischedel, Ralph
dc.date1998-03-27
dc.date.accessioned2026-07-25T13:57:06Z
dc.descriptionThis 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.
dc.descriptionPostscript only, 8 pages
dc.identifierhttps://arxiv.org/abs/cmp-lg/9803003
dc.identifierhttp://arxiv.org/abs/cmp-lg/9803003
dc.identifierProceedings of the Fifth Conference on Applied Natural Language Processing, 1997, pp. 194-201
dc.identifier.urihttps://dspace.dare.co.zw/handle/123456789/21785
dc.subjectComputation and Language
dc.titleNymble: a High-Performance Learning Name-finder
dc.typetext

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