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Volumn 761, Issue , 2011, Pages 19-26

Two different machine learning techniques for drug-drug interaction extraction

Author keywords

Drug drug interaction; Feature based method; Kernel based method; Machine learning; Shallow linguistic kernel; Tree kernel

Indexed keywords

DRUG-DRUG INTERACTIONS; FEATURE-BASED METHOD; KERNEL BASED METHODS; SHALLOW LINGUISTIC KERNEL; TREE KERNELS;

EID: 84891059084     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (13)
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    • Extract protein-protein interactions from the literature using support vector machines with feature selection
    • Chen, Y., Liu, F., Manderick, B.: Extract protein-protein interactions from the literature using support vector machines with feature selection. Biomedical Engineering, Trends, Research and Technologies (2011)
    • (2011) Biomedical Engineering Trends Research and Technologies
    • Chen, Y.1    Liu, F.2    Manderick, B.3
  • 3
    • 85084287330 scopus 로고    scopus 로고
    • A study on dependency tree kernels for automatic extraction of protein-protein interaction
    • Association for Computational Linguistics, Portland, Oregen, USA, June
    • Chowdhury, M.F.M., Lavelli, A., Moschitti, A.: A study on dependency tree kernels for automatic extraction of protein-protein interaction. In: Proceedings of BioNLP 2011 Workshop. pp. 124-133. Association for Computational Linguistics, Portland, Oregen, USA (June 2011)
    • (2011) Proceedings of BioNLP 2011 Workshop , pp. 124-133
    • Chowdhury, M.F.M.1    Lavelli, A.2    Moschitti, A.3
  • 6
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    • Making large-scale support vector machine learning practical
    • MIT Press, Cambridge, MA, USA
    • Joachims, T.: Making large-scale support vector machine learning practical. In: Advances in kernel methods: support vector learning, pp. 169-184. MIT Press, Cambridge, MA, USA (1999)
    • (1999) Advances in Kernel Methods: Support Vector Learning , pp. 169-184
    • Joachims, T.1
  • 8
    • 78649487896 scopus 로고    scopus 로고
    • Protein-protein interaction extraction from biomedical literatures based on a combined kernel
    • Li, L., Ping, J., Huang, D.: Protein-protein interaction extraction from biomedical literatures based on a combined kernel. Journal of Information and Computational Science 7(5), 1065-1073 (2010)
    • (2010) Journal of Information and Computational Science , vol.7 , Issue.5 , pp. 1065-1073
    • Li, L.1    Ping, J.2    Huang, D.3
  • 10
    • 33750333944 scopus 로고    scopus 로고
    • Efficient convolution kernels for dependency and constituent syntactic trees
    • Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.), Springer Berlin / Heidelberg
    • Moschitti, A.: Efficient convolution kernels for dependency and constituent syntactic trees. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) Machine Learning: ECML 2006, Lecture Notes in Computer Science, vol. 4212, pp. 318-329. Springer Berlin / Heidelberg (2006)
    • (2006) Machine Learning: ECML 2006, Lecture Notes in Computer Science , vol.4212 , pp. 318-329
    • Moschitti, A.1
  • 12
    • 79959655291 scopus 로고    scopus 로고
    • Using a shallow linguistic kernel for drug-drug interaction extraction
    • In Press, Corrected Proof, Available online (24 April)
    • Segura-Bedmar, I., Martínez, P., Pablo-Sánchez, C.d.: Using a shallow linguistic kernel for drug-drug interaction extraction. Journal of Biomedical Informatics In Press, Corrected Proof, Available online (24 April, 2011)
    • (2011) Journal of Biomedical Informatics
    • Segura-Bedmar, I.1    Martínez, P.2    Pablo-Sánchez, C.D.3
  • 13
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    • Combining active learning and semi-supervised learning techniques to extract protein interaction sentences
    • Song, M., Yu, H., Han, W.: Combining active learning and semi-supervised learning techniques to extract protein interaction sentences. In: International Workshop on Data Mining in Bioinformatics (2010)
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    • Song, M.1    Yu, H.2    Han, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.