Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Pomares-Quimbaya, A; López-Úbeda, P; Oleynik, M; Schulz, S.
Leveraging PubMed to Create a Specialty-Based Sense Inventory for Spanish Acronym Resolution.
Stud Health Technol Inform. 2020; 270:292-296 Doi: 10.3233/SHTI200169
PubMed FullText FullText_MUG

 

Co-Autor*innen der Med Uni Graz
Oleynik Michel
Schulz Stefan
Altmetrics:

Dimensions Citations:

Plum Analytics:

Scite (citation analytics):

Abstract:
Acronyms frequently occur in clinical text, which makes their identification, disambiguation and resolution an important task in clinical natural language processing. This paper contributes to acronym resolution in Spanish through the creation of a set of sense inventories organized by clinical specialty containing acronyms, their expansions, and corpus-driven features. The new acronym resource is composed of 51 clinical specialties with 3,603 acronyms in total, from which we identified 228 language independent acronyms and 391 language dependent expansions. We further analyzed the sense inventory across specialties and present novel insights of acronym usage in biomedical Spanish texts.
Find related publications in this database (using NLM MeSH Indexing)
Abbreviations as Topic -
Artificial Intelligence -
Humans -
Language -
Natural Language Processing -
PubMed -

© Med Uni Graz Impressum