A Robust Risk Minimization based Named Entity Recognition System

Proceedings of the 7th Conference on Natural Language Learning, CoNLL 2003 at HLT-NAACL 2003

Volumn , Issue , 2003, Pages 204-207

  Zhang, Tong ^a   Johnson, David ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); NATURAL LANGUAGE PROCESSING SYSTEMS;

'CURRENT; CLASSIFICATION SYSTEM; LINEAR CLASSIFICATION; LINGUISTIC FEATURES; NAMED ENTITY RECOGNITION; RECOGNITION SYSTEMS; ROBUST RISK MINIMIZATIONS; STATE-OF-THE-ART PERFORMANCE; TAGGING PROBLEM; TEXT CHUNKING;

LINGUISTICS;

EID: 84919495233     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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2. Andrew Borthwick. 1999. A Maximum Entropy Approach to Named Entity Recognition. Ph.D. thesis, New York University.
3. Fred J. Damerau, Tong Zhang, Sholom M. Weiss, and Nitin Indurkhya. 2003. Text categorization for a comprehensive time-dependent benchmark. Information Processing & Management, to appear.
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9. Tong Zhang, Fred Damerau, and David E. Johnson. 2002. Text chunking based on a generalization of Winnow. Journal of Machine Learning Research, 2:615–637.