The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …

There is an increasing interest in exploiting the content of electronic health records by
means of natural language processing and text-mining technologies, as they can result in …

Clinical coding requires the analysis and transformation of medical narratives into a
structured or coded format using internationally recognized classification systems like ICD …

Parsing is a core natural language processing technique that can be used to obtain the
structure underlying sentences in human languages. Named entity recognition (NER) is the …

This study presents a novel approach to Biomedical Named Entity Recognition (BioNER),
specifically tailored for the cardiology domain. The challenge of adapting models to specific …

The amount of abbreviations used in biomedical literature increases constantly. Despite the
existence of acronym dictionaries, it is not viable to keep them updated with new creations …

Biomedical literature, Electronic Health Records and clinical notes frequently contain
abbreviations and acronyms, most of them are highly ambiguous. Correct interpretation of …

This paper presents MHeTRep, a multilingual medical terminology and the methodology
followed for its compilation. The multilingual terminology is organised into one vocabulary …

Biomedical Abbreviation Recognition and Resolution (BARR) is an evaluation track of the
2nd Human Language Technologies for Iberian languages (IberEval) workshop, which is a …

This paper describes the adaptation and assessment of three stateof-the-art publicly
available, widely used, biomedical abbreviation recognition systems developed originally to …