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Volumn , Issue , 2010, Pages 91-98

Extraction of disease-treatment semantic relations from biomedical sentences

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; CURING; SEMANTICS;

EID: 84890861754     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (10)
  • 4
    • 0035236048 scopus 로고    scopus 로고
    • Genies: a natural-language processing system for the extraction of molecular pathways from journal articles
    • Friedman C., Kra P., Yu H., Krauthammer M., and Rzhetzky A. 2001. Genies: a natural-language processing system for the extraction of molecular pathways from journal articles. Bioinformatics, 17(1).
    • (2001) Bioinformatics , vol.17 , Issue.1
    • Friedman, C.1    Kra, P.2    Yu, H.3    Krauthammer, M.4    Rzhetzky, A.5
  • 6
    • 33344465511 scopus 로고    scopus 로고
    • Biomedical Language Processing: What's Beyond PubMed?
    • Hunter Lawrence and K. Bretonnel Cohen. 2006. Biomedical Language Processing: What's Beyond PubMed? Molecular Cell 21, 589-594.
    • (2006) Molecular Cell , vol.21 , pp. 589-594
    • Lawrence, Hunter1    Bretonnel Cohen, K.2
  • 7
    • 84880914660 scopus 로고    scopus 로고
    • Representing sentence structure in Hidden Markov Models for information extraction
    • Ray S. and Craven M. 2001. Representing sentence structure in Hidden Markov Models for information extraction. Proceedings of IJCAI-2001.
    • (2001) Proceedings of IJCAI-2001
    • Ray, S.1    Craven, M.2
  • 9
    • 84880750986 scopus 로고    scopus 로고
    • Using Neutral Examples for Learning Polarity
    • Edinburgh, Scotland
    • Koppel M. and J. Schler. 2005. Using Neutral Examples for Learning Polarity, Proceedings of IJCAI, Edinburgh, Scotland.
    • (2005) Proceedings of IJCAI
    • Koppel, M.1    Schler, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.