International Journal of Drug Development and Research

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Puneet Souda

Department of Pharmaceutical and Drug Discovery, Faculty of Science, King Mongkut’s University of Technology Thonburi, Thailand

  • Research Article   
    Extraction of Drug-Drug Interactions Using Convolutional Neural Networks
    Author(s): Puneet Souda*

    Drug-drug interaction (DDI) extraction has long been a popular relation extraction task in natural language processing (NLP). Modern support vector machines (SVM) with a high number of manually set features are the foundation of most DDI extraction methods. Convolutional neural networks (CNN), a reliable machine learning technique that nearly never requires manually generated features, have recently shown significant promise for a variety of NLP tasks. CNN should be used for DDI extraction, which has never been looked at. A CNN-based technique for DDI extraction was put forth. CNN is a good option for DDI extraction, as shown by experiments done on the 2013 DDI Extraction challenge corpus. The CNN-based DDI extraction approach outperforms the currently highest performing method by 69.75%, achieving a score of 69.75%. Keywords Drug-drug i.. Read More»

    DOI: 10.36648-0975-9344- 15.2-993

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