RT Conference Proceedings
T1 UC3M: A kernel-based approach to identify and classify DDIs in biomedical texts
A1 Sánchez Cisneros, Daniel
AB 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.
PB Association for Computational Linguistics
YR 2013
FD 2013-06
LK https://hdl.handle.net/10016/20454
UL https://hdl.handle.net/10016/20454
LA eng
NO Proceedings of: International Workshop on Semantic Evaluation. SemEval-2013 : Semantic Evaluation Exercises. Took place in 2013 June 14-15, in Atlanta, Georgia (USA). The event Web site in http://www.cs.york.ac.uk/semeval-2013/
NO This work has been funded by MA2VICMR project (S2009/TIC-1542) and MULTIMEDICA project10 (TIN 2010-20644-C03-01)
DS e-Archivo
RD 17 jul. 2024