A Hybrid Approach for Named Entity and Sub-Type Tagging

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.

• Type: Conference
• Year: 2000
• Where: ANLP
• Authors: Rohini K. Srihari
• Keywords: ANLP 2000, Hidden Markov Model, Innate Strengths, Maximum Entropy Model