Nymble: a High-Performance Learning Name-finder

Computer Science – Computation and Language

Scientific paper

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Postscript only, 8 pages

Scientific paper

This 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.

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