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Year 2022 in Medical Natural Language Processing: Availability of Language Models as a Step in the Democratization of
Cyril Grouin1, Natalia Grabar2,
1Université Paris Saclay, CNRS, Laboratoire Interdisciplinaire des Sciences du Numérique, 91400 Orsay, France.
Objectives:
To analyse the content of publications within the medical Natural Language Processing (NLP) domain in 2022.
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. We also propose an analysis of the content of the NLP publications in 2022, stressing on some of the topics.
Conclusion:
The main trend in 2022 is certainly related to the availability of large language models, especially those based on Transformers, and to their use by non-NLP researchers. This leads to the democratization of the NLP methods. We also observe the renewal of interest to languages other than English, the continuation of research on information extraction and prediction, the massive use of data from social media, and the consideration of needs and interests of patients.
