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Volumn 8, Issue 4, 2012, Pages 575-588

An active co-training algorithm for biomedical named-entity recognition

Author keywords

Biomedical named entity recognition; Co training; Feature processing; Semi supervised learning; Text mining

Indexed keywords

CO-TRAINING; FEATURE PROCESSING; NAMED-ENTITY RECOGNITION; SEMI-SUPERVISED LEARNING; TEXT MINING;

EID: 84874142487     PISSN: 1976913X     EISSN: 2092805X     Source Type: Journal    
DOI: 10.3745/JIPS.2012.8.4.575     Document Type: Article
Times cited : (11)

References (22)
  • 4
    • 68949137209 scopus 로고    scopus 로고
    • Univ. of Wisconsin-Madison, Madison, WI, Computer Sciences Tech, Re
    • B. Settles, Active learning literature survey, 2010. Univ. of Wisconsin-Madison, Madison, WI, Computer Sciences Tech., Rep.1648.
    • (2010) Active learning literature survey , pp. 1648
    • Settles, B.1
  • 6
    • 78149318382 scopus 로고    scopus 로고
    • ATRMiner: A system for Automatic Biomedical Named Entities Recognition
    • L.J. Gong, and X. Sun, "ATRMiner: A system for Automatic Biomedical Named Entities Recognition," ICNC 2010, 2010, pp.3842-3845.
    • (2010) ICNC , vol.2010 , pp. 3842-3845
    • Gong, L.J.1    Sun, X.2
  • 10
    • 30744457935 scopus 로고    scopus 로고
    • Gene/protein name recognition based on support vector machine using dictionary as features
    • T. Mitsumori, S. Fation, M. Murata, K. Doi, and H. Doi, "Gene/protein name recognition based on support vector machine using dictionary as features," BMC Bioinformatics, 2005.
    • (2005) BMC Bioinformatics
    • Mitsumori, T.1    Fation, S.2    Murata, M.3    Doi, K.4    Doi, H.5
  • 11
    • 8444242136 scopus 로고    scopus 로고
    • Comparison of character-level and part of speech features for name recognition in biomedical texts
    • N. Collier, and K. Takeuchi, "Comparison of character-level and part of speech features for name recognition in biomedical texts," Journal of Biomedical Informatics, 2004, pp.423-435.
    • (2004) Journal of Biomedical Informatics , pp. 423-435
    • Collier, N.1    Takeuchi, K.2
  • 16
    • 47649128752 scopus 로고    scopus 로고
    • Efficient Methods for Biomedical Named Entity Recognition
    • S. Chan, and W. Lam, "Efficient Methods for Biomedical Named Entity Recognition," Bioinformatics and Bioengineering, 2007.
    • (2007) Bioinformatics and Bioengineering
    • Chan, S.1    Lam, W.2
  • 17
    • 46249123634 scopus 로고    scopus 로고
    • Integrating high dimensional bidirectional parsing models for gene mention tagging
    • C. Hsu, Y. Chang, C. Kuo, Y. Lin, H. Huang, and I. Chung, "Integrating high dimensional bidirectional parsing models for gene mention tagging," Bioinformatics, 2008.
    • (2008) Bioinformatics
    • Hsu, C.1    Chang, Y.2    Kuo, C.3    Lin, Y.4    Huang, H.5    Chung, I.6
  • 18
    • 68949148714 scopus 로고    scopus 로고
    • Integrating rich background knowledge for gene named entity classification and recognition
    • Y. Li, H Lin, and Z. Yang, "Integrating rich background knowledge for gene named entity classification and recognition," BMC Bioinformatics, 2009.
    • (2009) BMC Bioinformatics
    • Li, Y.1    Lin, H.2    Yang, Z.3
  • 20
    • 84863343270 scopus 로고    scopus 로고
    • BFSM: Finite State Machine Learned as Name Boundary Definer for Bio Named Entity Recognition
    • T. Munkhdalai, M. Li, E. Namsrai, O. Namsrai, and K. H. Ruy, "BFSM: Finite State Machine Learned as Name Boundary Definer for Bio Named Entity Recognition," ICAST 2011, 2011.
    • (2011) ICAST 2011
    • Munkhdalai, T.1    Li, M.2    Namsrai, E.3    Namsrai, O.4    Ruy, K.H.5
  • 22
    • 4944229711 scopus 로고    scopus 로고
    • GENIA corpus-a semantically annotated corpus for bio-text mining
    • J.D. Kim, T. Ohta, Y. Tateishi, and J. Tsujii, "GENIA corpus-a semantically annotated corpus for bio-text mining," Bioinformatics 2003, 2003, 19(Suppl. 1):18-2.
    • (2003) Bioinformatics 2003 , vol.19 , Issue.SUPPL. 1 , pp. 18-22
    • Kim, J.D.1    Ohta, T.2    Tateishi, Y.3    Tsujii, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.