Drug-drug Interaction Extraction Using Composite Kernels

Detection of drug-drug interaction (DDI) is crucial for identi- fication of adverse drug effects. In this paper, we present a range of new composite kernels that are evaluated in the DDIExtraction2011 chal- lenge. 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.