Year 2020 (with COVID): Observation of Scientific Literature on Clinical Natural Language Processing.
Yearb Med Inform
; 30(1): 257-263, 2021 Aug.
Article
in English
| MEDLINE | ID: covidwho-1392950
ABSTRACT
OBJECTIVES:
To analyze the content of publications within the medical NLP domain in 2020.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:
Three best papers have been selected in 2020. We also propose an analysis of the content of the NLP publications in 2020, all topics included.CONCLUSION:
The two main issues addressed in 2020 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 diversification of languages processed and use of information from social networks.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Natural Language Processing
/
Social Networking
/
COVID-19
Type of study:
Observational study
/
Prognostic study
/
Randomized controlled trials
Limits:
Humans
Language:
English
Journal:
Yearb Med Inform
Year:
2021
Document Type:
Article
Affiliation country:
S-0041-1726528
Similar
MEDLINE
...
LILACS
LIS