Background Text mining and natural language processing of clinical text, such as notes from
electronic health records, requires specific consideration of the specialized characteristics of …

Background Hospital discharge summaries offer a potentially rich resource to enhance
pharmacovigilance efforts to evaluate drug safety in real-world clinical practice. However, it …

This paper presents the 2018 edition of NEGES, Workshop on Negation in Spanish, that
took place on September 18 as part of the 34th International Conference of the Spanish …

This paper presents and describes eHealth-KD corpus. The corpus is a collection of 1173
Spanish health-related sentences manually annotated with a general semantic structure that …

Background This work deals with Natural Language Processing applied to the clinical
domain. Specifically, the work deals with a Medical Entity Recognition (MER) on Electronic …

In an era when large amounts of data are generated daily in various fields, the biomedical
field among others, linguistic resources can be exploited for various tasks of Natural …

This work focuses on the creation of a system to detect negated medical entities in electronic
health records (EHRs) written in Spanish. The importance of this task rests on the influence …

Background and objective This work aims at extracting Adverse Drug Reactions (ADRs), ie a
harm directly caused by a drug at normal doses, from Electronic Health Records (EHRs) …

El Procesamiento del Lenguaje Natural es el área de la Inteligencia Artificial que tiene como
objetivo desarrollar mecanismos computacionalmente eficientes para facilitar la …

Background To robustly identify synergistic combinations of drugs, high-throughput
screenings are desirable. It will be of great help to automatically identify the relations in the …