Publication | Open Access
Nymble
720
Citations
5
References
1997
Year
Unknown Venue
Ne TaskEngineeringCorpus LinguisticsText MiningNatural Language ProcessingInformation RetrievalData ScienceComputational LinguisticsLanguage StudiesNamed-entity RecognitionMachine TranslationEntity DisambiguationNlp TaskKnowledge DiscoveryInformation ExtractionOther Nonrecursive EntitiesMuc-6 DefinitionText ProcessingLinguistics
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.
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