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Volumn 2007-January, Issue , 2007, Pages 479-483

Conditional Random Fields vs. Hidden Markov Models in a biomedical named entity recognition task

Author keywords

Biomedical named entity recognition; Conditional Random Fields; Hidden Markov Models

Indexed keywords

MOLECULAR BIOLOGY; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84949809788     PISSN: 13138502     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (22)

References (12)
  • 6
    • 0024610919 scopus 로고    scopus 로고
    • A tutorial on hidden markov models and selected applications in speech recognition
    • L. R. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition. In Proceedings of the IEEE, volume 77(2), pages 257-285, 1998.
    • (1998) Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-285
    • Rabiner, L.R.1
  • 10
    • 0004217877 scopus 로고
    • 2nd edition. Dept. of Computer Science, University of Glasgow
    • J. van Rijsbergen. Information Retrieval, 2nd edition. Dept. of Computer Science, University of Glasgow, 1979.
    • (1979) Information Retrieval
    • Van Rijsbergen, J.1
  • 11
    • 8444239684 scopus 로고    scopus 로고
    • Enhancing hmm-based biomedical named entity recognition by studying special phenomena
    • J. Zhang, D. Shen, G. Zhou, S. Jian, and C. L. Tan. Enhancing hmm-based biomedical named entity recognition by studying special phenomena. Journal of Biomedical Informatics, 37(6), 2004.
    • (2004) Journal of Biomedical Informatics , vol.37 , Issue.6
    • Zhang, J.1    Shen, D.2    Zhou, G.3    Jian, S.4    Tan, C.L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.