Feature selection for drug-drug interaction detection using machine-learning based approaches

This paper describes the systems developed for the DDI Extraction challenge. The systems use machine learning methods and are based on SVM by using LIBSVM and SVMPerf tools. Classical features and corpus-specific features are selected according to their F-score. The best system obtained an F-measure of 0.5965.