Healthcare professionals are generating a substantial volume of clinical data in narrative
form. As healthcare providers are confronted with serious time constraints, they frequently …

A common characteristic of content generated by healthcare professionals, regardless the
actual clinical discipline or language, is the widespread and frequent use of abbreviations …

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

One of the main bottlenecks for clinical natural language processing is the lack of access to
annotated corpora generated by domain experts. Due to the complexity of the medical …

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

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

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 …

With the deployment of Electronic Health Records, much effort is being devoted to the
development of Natural Language Processing tools that convert information described in …

ARBOREx, a system for abbreviation recognition and resolution in biomedical texts based
on a curated set of lexical resources, is presented. For ShortForm-ExtendedForm (SF-EF) …

Abbreviations pose a challenge for information extraction systems. In clinical text,
abbreviations are abundant, as this type of documentation is written under time-pressure …