NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels

A drug-drug interaction (DDI) occurs when one drug affects the level or activity of another drug. Semeval 2013 DDI Extraction challenge is going to be held with the aim of identifying the state of the art relation extraction algorithms. In this paper we firstly review some of the existing approaches in relation extraction generally and biomedical relations especially. And secondly we will explain our SVM based approaches that use lexical, morphosyntactic and parse tree features. Our combination of sequence and tree kernels have shown promising performance with a best result of 0.54 F1 macroaverage on the test dataset.