RT Conference Proceedings
T1 Combining Syntactic Information and Domain-Specific Lexical Patterns to Extract Drug-Drug Interactions from Biomedical Texts
A1 Segura-Bedmar, Isabel
A1 Martínez Fernández, Paloma
A1 Pablo-Sánchez, César de
AB A drug-drug interaction (DDI) occurs when one drug influences the level or activity of another drug. The increasing volume of the scientific literature overwhelms health care professionals trying to be kept up-to-date with all published studies on DDI. Information Extraction (IE) techniques can provide an interesting way of reducing the time spent by health care professionals on reviewing the literature. Nevertheless, no approach has been carried out to extract DDI from texts. To the best of our knowledge, this work proposes the first integral solution for the automatic extraction of DDI from biomedical texts.
PB ACM
SN 978-1-4503-0382-8
YR 2010
FD 2010-10
LK https://hdl.handle.net/10016/20400
UL https://hdl.handle.net/10016/20400
LA eng
NO Proceeding at: 19th ACM International Conference on Information and Knowdledge Management. Took place October, 26-30 2010, in Toronto, Canada. The event Web site is http://www.yorku.ca/cikm10/
NO This work has been partially supported by the Spanish research projects: MA2VICMR consortium (S2009/TIC-1542, www.mavir.net), a network of excellence funded by the Madrid Regional Government and TIN2007-67407-C03-01 (BRAVO: Advanced Multimodal and Multilingual Question Answering).
DS e-Archivo
RD 17 jul. 2024