Drug-drug Interaction Extraction Using Composite Kernels
نویسندگان
چکیده
Detection of drug-drug interaction (DDI) is crucial for identification of adverse drug effects. In this paper, we present a range of new composite kernels that are evaluated in the DDIExtraction2011 challenge. These kernels are computed using different combinations of tree and feature based kernels. The best result that we obtained is an F1 score of 0.6370 which is higher than the already published result on this same corpus.
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تاریخ انتشار 2011