Year 2020 (with COVID): Observation of ...
Type de document :
Compte-rendu et recension critique d'ouvrage
DOI :
Titre :
Year 2020 (with COVID): Observation of Scientific Literature on Clinical Natural Language Processing
Auteur(s) :
Grabar, Natalia [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Grouin, Cyril [Auteur]
Information, Langue Ecrite et Signée [ILES]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Grouin, Cyril [Auteur]
Information, Langue Ecrite et Signée [ILES]
Titre de la revue :
IMIA Yearbook of Medical Informatics
Pagination :
257-263
Éditeur :
Schattauer
Date de publication :
2021-09-03
ISSN :
0943-4747
Mot(s)-clé(s) en anglais :
Natural Language Processing
Semi-automatic Selection of Publication
Topics
Issues
2020
Semi-automatic Selection of Publication
Topics
Issues
2020
Discipline(s) HAL :
Informatique [cs]
Résumé en anglais : [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. ...
Lire la suite >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 networksLire moins >
Lire la suite >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 networksLire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
Source :
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