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Volumn , Issue , 2007, Pages 93-102

A cascaded approach to biomedical named entity recognition using a unified model

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DATA MINING; DECISION SUPPORT SYSTEMS; INFORMATION MANAGEMENT; MINING; SEARCH ENGINES;

EID: 49749128759     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2007.20     Document Type: Conference Paper
Times cited : (9)

References (18)
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    • J. Kim, T. Ohta, Y. Tsuruoka, Y. Tateisi, and N. Collier. Introduction to the bio-entity recognition task at JNLPBA. In N. Collier, P. Ruch, and A. Nazarenko, editors, Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications (JNLPBA), Geneva, Switzerland, pages 70-75, August 28-29 2004. held in conjunction with COLING'2004.
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  • 7
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    • A comparison of algorithms for maximum entropy parameter estimation
    • Taipei, Taiwan
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    • Malouf, R.1
  • 8
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    • Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons
    • Morristown, NJ, USA, Association for Computational Linguistics
    • A. McCallum and W. Li. Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons. In Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003, pages 188-191, Morristown, NJ, USA, 2003. Association for Computational Linguistics.
    • (2003) Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL , pp. 188-191
    • McCallum, A.1    Li, W.2
  • 10
    • 84898962087 scopus 로고    scopus 로고
    • Semi-markov conditional random fields for information extraction
    • L. K. Saul, Y. Weiss, and L. Bottou, editors, Cambridge, MA, MIT Press
    • S. Sarawagi and W. W. Cohen. Semi-markov conditional random fields for information extraction. In L. K. Saul, Y. Weiss, and L. Bottou, editors, Advances in Neural Information Processing Systems 17, pages 1185-1192, Cambridge, MA, 2005. MIT Press.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.