UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts

In this paper we describe UMCC_DLSI(DDI) system which attempts to detect and classify drug entities in biomedical texts. We discuss the use of semantic class and words relevant domain, extracted with ISRWN (Integration of Semantic Resources based on WordNet) resource to obtain our goal. Following this approach our system obtained an F-Measure of 27.5% in the DDIExtraction 2013 (SemEval 2013 task 9).