Extracting biomedical relations from text is an important task in BioMedical NLP. There are several systems developed for this purpose but the ones on Drug-Drug interactions are still a few. In this paper we want to show the ef- fectiveness of negation features for this task. We rstly describe how we extended the DrugDDI corpus by annotating it with the scope of negation, and secondly we report a set of experiments in which we show that negation features provide benets for the detection of drug-drug interactions in combination with some simple relation extraction methods.
['Behrouz Bokharaeian', 'Alberto Díaz', 'Miguel Ballesteros']
Extracting Drug-Drug Interaction from Text Using Negation Features