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Volumn 761, Issue , 2011, Pages 1-9

The 1st DDIExtraction-2011 challenge task: Extraction of Drug-Drug Interactions from biomedical texts

Author keywords

Biomedical text mining; Drug drug interaction extraction

Indexed keywords

BIOMEDICAL TEXT; BIOMEDICAL TEXT MININGS; DRUG-DRUG INTERACTIONS; PARTICIPATING SYSTEMS;

EID: 84866236103     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (71)

References (18)
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    • A study on dependency tree kernels for automatic extraction of protein-protein interaction
    • Chowdhury, M., Lavelli, A., Moschitti, A.: A study on dependency tree kernels for automatic extraction of protein-protein interaction. ACL HLT 2011 p. 124
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    • Chowdhury, M.1    Lavelli, A.2    Moschitti, A.3
  • 8
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    • Drug interaction management
    • Hansten, P.D.: Drug interaction management. Pharmacy World & Science 25(3), 94-97 (2003)
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    • Others: Calidad estructural de las bases de datos de interacciones
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    • Rodríguez-Terol, A.1    Camacho, C.2
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    • A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents
    • Segura-Bedmar, I., Martínez, P., de Pablo-Sánchez, C.: A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents. BMC Bioinformatics 12(Suppl 2), S1 (2011)
    • (2011) BMC Bioinformatics , vol.12 , Issue.SUPPL. 2
    • Segura-Bedmar, I.1    Martínez, P.2    De Pablo-Sánchez, C.3
  • 16
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    • A comprehensive benchmark of kernel methods to extract protein-protein interactions from literature
    • Tikk, D., Thomas, P., Palaga, P., Hakenberg, J., Leser, U.: A comprehensive benchmark of kernel methods to extract protein-protein interactions from literature. PLoS Computational Biology 6(7), e1000837 (2010)
    • (2010) PLoS Computational Biology , vol.6 , Issue.7
    • Tikk, D.1    Thomas, P.2    Palaga, P.3    Hakenberg, J.4    Leser, U.5
  • 18
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    • Towards answering biological questions with experimental evidence: Automatically identifying text that summarize image content in full-text articles
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    • Yu, H.: Towards answering biological questions with experimental evidence: automatically identifying text that summarize image content in full-text articles. Annual AMIA Symposium proceedings pp. 834-8 (Jan 2006)
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    • Yu, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.