Zhihao Yang, Yuan Lin, Jiajin Wu, Nan Tang, Hongfei Lin, Yanpeng Li
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Ranking SVM for multiple kernels output combination in protein-protein interaction extraction from biomedical literature
Knowledge about protein-protein interactions unveils the molecular mechanisms of biological processes. This paper presents a multiple kernels learning-based approach to automatically extracting protein-protein interactions from biomedical literature. Experimental evaluations show that our approach can achieve state-of-the-art performance with respect to comparable evaluations, with 64.88% F-score and 88.02% area under the receiver operating characteristics curve (AUC) on the AImed corpus.