Year 2021: COVID-19, Information Extraction and BERTization among the Hottest Topics in Medical Natural Language Processing.
Yearb Med Inform
; 31(1): 254-260, 2022 Aug.
Artículo
en Inglés
| MEDLINE | ID: covidwho-2151185
ABSTRACT
OBJECTIVES:
Analyze the content of publications within the medical natural language processing (NLP) domain in 2021.METHODS:
Automatic and manual preselection of publications to be reviewed, and selection of the best NLP papers of the year. Analysis of the important issues.RESULTS:
Four best papers have been selected in 2021. We also propose an analysis of the content of the NLP publications in 2021, all topics included.CONCLUSIONS:
The main issues addressed in 2021 are related to the investigation of COVID-related questions and to the further adaptation and use of transformer models. Besides, the trends from the past years continue, such as information extraction and use of information from social networks.
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Asunto principal:
Procesamiento de Lenguaje Natural
/
COVID-19
Límite:
Humanos
Idioma:
Inglés
Revista:
Yearb Med Inform
Año:
2022
Tipo del documento:
Artículo
País de afiliación:
S-0042-1742547
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