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DOI: 10.1055/s-0041-1726528
Year 2020 (with COVID): Observation of Scientific Literature on Clinical Natural Language Processing
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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
Keywords
Natural language processing - semi-automatic selection of publication - topics, issues, 20205 https://openai.com/blog/better-language-models/
Publikationsverlauf
Artikel online veröffentlicht:
03. September 2021
© 2021. IMIA and Thieme. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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