A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks.

Journal: Journal of the American Medical Informatics Association : JAMIA

Published Date: Sep 1, 2024

Abstract

OBJECTIVES: This comparative analysis aims to assess the efficacy of encoder Language Models for clinical tasks in the Spanish language. The primary goal is to identify the most effective resources within this context.

Authors

Guillem García Subies

Computer Science Department, Universidad Carlos III de Madrid, Leganés, Spain.
Álvaro Barbero Jiménez

AI Department, Instituto de Ingeniería del Conocimiento, Madrid, Spain.
Paloma Martínez Fernández

Computer Science Department, Universidad Carlos III de Madrid, Leganés, Spain.

Keywords

Electronic Health Records Humans Language Natural Language Processing Spain

External Resources

View on PubMed Access via DOI PubMed (38489543)

A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks.

Abstract

Authors

Keywords

External Resources

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