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Volumn 3651 LNAI, Issue , 2005, Pages 646-657

Two-phase biomedical named entity recognition using a hybrid method

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL ENGINEERING; DATA PROCESSING; ENTROPY; LEARNING SYSTEMS; PROBLEM SOLVING; SEMANTICS;

EID: 33645960399     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11562214_57     Document Type: Conference Paper
Times cited : (21)

References (13)
  • 3
    • 0002670150 scopus 로고    scopus 로고
    • Extracting the names of genes and gene products with a hidden markov model
    • Nigel Collier, Chikashi Nobata and Jun-ichi Tsujii. Extracting the Names of Genes and Gene Products with a Hidden Markov Model. In Proceedings of COLING 2000; 201-207.
    • Proceedings of COLING 2000 , pp. 201-207
    • Collier, N.1    Nobata, C.2    Tsujii, J.-I.3
  • 4
    • 33745600603 scopus 로고    scopus 로고
    • Exploiting context for biomedical entity recognition from syntax to thw web
    • Jenny Finkel, Shipra Dingare, and Huy Nguyen. Exploiting Context for Biomedical Entity Recognition From Syntax to thw Web. In Proceedings of JNLPBA/BioNLP 2004; 88-91.
    • Proceedings of JNLPBA/BioNLP 2004 , pp. 88-91
    • Finkel, J.1    Dingare, S.2    Nguyen, H.3
  • 7
    • 8444226720 scopus 로고    scopus 로고
    • Term identification in the biomedical literature
    • Michael Krauthammer and Goran Nenadic. Term Identification in the Biomedical literature. Journal of Biomedical Informatics. 2004; 37(6):512-526.
    • (2004) Journal of Biomedical Informatics , vol.37 , Issue.6 , pp. 512-526
    • Krauthammer, M.1    Nenadic, G.2
  • 8
    • 0142192295 scopus 로고    scopus 로고
    • Conditional Random Fields: Probabilistic models for segmenting and labeling sequence data
    • John Lafferty, Andrew McCallum, and Fernando Pereira. Conditional Random Fields: probabilistic models for segmenting and labeling sequence data. In Proceedings of ICML-01; 282-289.
    • Proceedings of ICML-01 , pp. 282-289
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 9
    • 8444226721 scopus 로고    scopus 로고
    • Biomedical named entity recognition using two-phase model based on SVMs
    • Ki-Joong Lee, Young-Sook Hwang, Seonho Kim, Hae-Chang Rim. Biomedical named entity recognition using two-phase model based on SVMs. Journal of Biomedical Informatics 2004; 37(6):436-447.
    • (2004) Journal of Biomedical Informatics , vol.37 , Issue.6 , pp. 436-447
    • Lee, K.-J.1    Hwang, Y.-S.2    Kim, S.3    Rim, H.-C.4
  • 11
    • 17244376942 scopus 로고    scopus 로고
    • Biomedical named entity recognition using conditional random fields and rich feature sets
    • Burr Settles. Biomedical Named Entity Recognition Using Conditional Random Fields and Rich Feature Sets. In Proceedings of JNLPBA/BioNLP 2004; 104-107.
    • (2004) Proceedings of JNLPBA/BioNLP , pp. 104-107
    • Settles, B.1
  • 13
    • 25444503866 scopus 로고    scopus 로고
    • Exploring deep knowledge resources in biomedical name recognition
    • GuoDong Zhou, Jie Zhang, Jian Su, Chew-Lim Tan. Exploring Deep Knowledge Resources in Biomedical Name Recognition. In Proceedings of JNLPBA/BioNLP 2004; 99-102.
    • (2004) Proceedings of JNLPBA/BioNLP , pp. 99-102
    • Zhou, G.1    Zhang, J.2    Su, J.3    Tan, C.-L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.