Year 2020 (with COVID): Observation of Scientific Literature on Clinical Natural Language Processing-Reference-Cited by-同舟云学术

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

Published:2021-08 Issue:01 Volume:30 Page:257-263
ISSN:0943-4747
Container-title:Yearbook of Medical Informatics
language:en
Short-container-title:Yearb Med Inform

Author:

Grabar Natalia¹²,Grouin Cyril¹,

Affiliation:

1. Université Paris Saclay, CNRS, Laboratoire Interdisciplinaire des Sciences du Numérique, Orsay, France

2. STL, CNRS, Université de Lille, Domaine du Pont-de-bois, Villeneuve-d’Ascq cedex, France

Abstract

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 networks

Publisher

Georg Thieme Verlag KG

Subject

General Medicine

Link

http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0041-1726528.pdf

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