A hybrid approach for named entity and sub-type tagging

Authors:
Rohini Srihari;Cheng Niu;Wei Li
Affiliations:
Cymfony Net, Inc., Williamsville, NY;Cymfony Net, Inc., Williamsville, NY;Cymfony Net, Inc., Williamsville, NY
Venue:
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Year:
2000

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Abstract

This paper presents a hybrid approach for named entity (NE) tagging which combines Maximum Entropy Model (MaxEnt), Hidden Markov Model (HMM) and handcrafted grammatical rules. Each has innate strengths and weaknesses; the combination results in a very high precision tagger. MaxEnt includes external gazetteers in the system. Sub-category generation is also discussed.