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

ACL ID S13-2106
Title UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

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 ISR- WN (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).