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.

• Publication year

  1997

• Venue

  Applied Natural Language Processing Conference

• Publication date

  1997-03-31

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/974557.974586arXiv cmp-lg/9803003
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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