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nymble: a high-performance learning name-finder 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. we develop nymble, an hmm-based name tagging system operating in english and spanish. nymble uses statistical learning to acquire a hidden markov model (hmm) that recognises nes in text. |