The automatic detection of negation elements is an active area of study
due to its high impact on several natural language processing tasks. This article
presents a system based on deep learning and a non-language dependent architecture
for the automatic detection of both, triggers and scopes of negation for English
and Spanish. The presented system obtains for English comparable results with
those obtained in recent works by more complex systems. For Spanish, the results
obtained in the detection of negation triggers are remarkable. The results for the
scope recognition are similar to those obtained for English.