Best system at the shared task on Automatic Disability Annotation at Ibereval 2018

This work was pursued by the IXAMed group in the DIANN-Ibereval 2018 task. The task consists of identifying disabilities within a collection of several abstracts from Elsevier journal papers related to the biomedical domain. These corpora include the annotation of negation when it applies to a disability. The evaluation of the task is divided in two sub-tasks; one corresponding to the detection of English entities and the other to Spanish entities. Our system achieves the best task F-score for both English and Spanish disability identification, showing the suitability of our approach even with quite small training corpus. Our F-score is 0.821 for English and of 0.786 for Spanish.