Title :

Year 2020 (with COVID): Observation of Scientific Literature on Clinical Natural Language Processing

Author(s) :

Grabar, Natalia [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Grouin, Cyril [Auteur]
Information, Langue Ecrite et Signée [ILES]

Journal title :

IMIA Yearbook of Medical Informatics

Pages :

257-263

Publisher :

Schattauer

Publication date :

2021-09-03

ISSN :

0943-4747

English keyword(s) :

Natural Language Processing
Semi-automatic Selection of Publication
Topics
Issues
2020

HAL domain(s) :

Informatique [cs]

English abstract : [en]

Summary 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. ...
Show more >Summary 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 networksShow less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Savoirs, Textes, Langage (STL) - UMR 8163

Source :

Harvested from HAL