Paper: UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts.

ACL ID S13-2103
Title UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts.
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

The domain of DDI identification is constantly showing a rise of interest from scientific community since it represents a decrease of time and healthcare cost. In this paper we purpose a new approach based on shallow linguistic kernel methods to identify DDIs in biomedical manuscripts. The approach outlines a first step in the usage of semantic information for DDI identification. The system obtained an F1 measure of 0.534.