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Volumn , Issue , 2009, Pages

Biomedical named entity recognition with tri-training learning

Author keywords

Biomedical named entity recognition; Semi supervised learning; Tri training

Indexed keywords

BIOMEDICAL NAMED ENTITY RECOGNITION; CO-TRAINING; DATA SCARCITY; GENERALIZATION ABILITY; GENIA CORPUS; LEARNING APPROACH; SCORING FUNCTIONS; SELECTION METHODS; SELECTION MODEL; SEMI-SUPERVISED LEARNING; TRI-TRAINING; UNLABELED DATA;

EID: 74049111491     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BMEI.2009.5304799     Document Type: Conference Paper
Times cited : (6)

References (9)
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    • 45549087801 scopus 로고    scopus 로고
    • Exploiting the performance of dictionary-based bio-entity name recognition in biomedical literature
    • Z.H. Yang, H.F. Lin, and Y.P. Li,"Exploiting the performance of dictionary-based bio-entity name recognition in biomedical literature," Computational Biology and Chemistry, vol.32,pp.287-291,2008
    • (2008) Computational Biology and Chemistry , vol.32 , pp. 287-291
    • Yang, Z.H.1    Lin, H.F.2    Li, Y.P.3
  • 3
    • 8444239684 scopus 로고    scopus 로고
    • Enhancing HMM-based biomedical named entity recognition by studying special phenomena
    • J. Zhang, D. Shen, G.D. Zhou, J. Su, and C.L. Tan, "Enhancing HMM-based biomedical named entity recognition by studying special phenomena," Journal of Biomedical Informatics, vol.37,pp.411-422,2004
    • (2004) Journal of Biomedical Informatics , vol.37 , pp. 411-422
    • Zhang, J.1    Shen, D.2    Zhou, G.D.3    Su, J.4    Tan, C.L.5
  • 4
    • 16244362685 scopus 로고    scopus 로고
    • Bio-Medical Entity Extraction using Support Vector Machines
    • T.Koichi,and C.Nigel,"Bio-Medical Entity Extraction using Support Vector Machines," Artificial Intelligence in Medicine, vol.33,pp.125-137, 2005
    • (2005) Artificial Intelligence in Medicine , vol.33 , pp. 125-137
    • Koichi, T.1    Nigel, C.2
  • 6
    • 27844538955 scopus 로고    scopus 로고
    • Integrating linguistic knowledge into a conditional random field framework to identify biomedical named entities
    • T.H. Tsai , W.C. Chou , S.H. Wu,T.Y. Sung, J. Hsiang and W.L. Hsu, "Integrating linguistic knowledge into a conditional random field framework to identify biomedical named entities," Expert Systems with Applications,vol.2006,pp.117-128,2006
    • (2006) Expert Systems with Applications , vol.2006 , pp. 117-128
    • Tsai, T.H.1    Chou, W.C.2    Wu, S.H.3    Sung, T.Y.4    Hsiang, J.5    Hsu, W.L.6
  • 7
    • 34447291383 scopus 로고    scopus 로고
    • C.J. Sun, Y. Guan, X.L. Wang, and L. Lin ,Rich features based Conditional Random Fields for biological named entities recognition, Computers in Biology and Medicine, 37,pp.1327-1333,2007
    • C.J. Sun, Y. Guan, X.L. Wang, and L. Lin ,"Rich features based Conditional Random Fields for biological named entities recognition," Computers in Biology and Medicine, vol.37,pp.1327-1333,2007
  • 8
    • 28244448186 scopus 로고    scopus 로고
    • Tri-training: Exploiting unlabeled data using three classifiers
    • Z.H. Zhou, and M. Li, "Tri-training: Exploiting unlabeled data using three classifiers," IEEE Transactions on Knowledge and Data Engineering ,vol.17,pp. 1529-1541,2005
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , pp. 1529-1541
    • Zhou, Z.H.1    Li, M.2
  • 9
    • 74049108880 scopus 로고    scopus 로고
    • M. Steedman,R. Hwa,S. Clark,M. Osborne,A. Sarkar,J. Hockenmaier-,et al,Example selection for bootstrapping statistical parsers, Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology,Edmonton, 2003,pp.157-164
    • M. Steedman,R. Hwa,S. Clark,M. Osborne,A. Sarkar,J. Hockenmaier-,et al,"Example selection for bootstrapping statistical parsers," Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology,Edmonton, 2003,pp.157-164


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.