Paper: Nymble: A High-Performance Learning Name-Finder

ACL ID A97-1029
Title Nymble: A High-Performance Learning Name-Finder
Venue Applied Natural Language Processing Conference
Session Main Conference
Year 1997
Authors

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.