Title :

Year 2023 in Biomedical Natural Language Processing: A Tribute to Large Language Models and Generative AI

Author(s) :

Grouin, Cyril [Auteur]
Laboratoire Interdisciplinaire des Sciences du Numérique [LISN]
Sciences et Technologies des Langues - LISN [STL]
Grabar, Natalia [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]

Journal title :

IMIA Yearbook of Medical Informatics

Publisher :

Schattauer

Publication date :

2024

ISSN :

0943-4747

English keyword(s) :

Biomedical Natural Language Processing
Topics
Issues
Best Papers
2023

HAL domain(s) :

Informatique [cs]
Sciences du Vivant [q-bio]

English abstract : [en]

Objectives: this synopsis gives insights into scientific publications from 2023 in Natural Language Processing for the biomedical domain. We present the process we followed to identify candidates for NLP's best paper and ...
Show more >Objectives: this synopsis gives insights into scientific publications from 2023 in Natural Language Processing for the biomedical domain. We present the process we followed to identify candidates for NLP's best paper and the two best papers of this year. We also analyze the current trends in the 2023 publications.Methods: we queried two databases (PubMed and the ACL anthology) and refined the outputs through automatic scoring. We then manually preselect publications to review and select candidate papers through an adjudication process. External reviewers assessed the interest of those 13 candidates. At last, the section editors chose the best NLP papers.Results: we collected 2,148 papers published in 2023, of which two were the best and selected as part of the NLP Chapter. Both address language models and propose solutions for data augmentation, domain-specific model adaptation, and model distillation. Work is done on social media content and electronic health records, using deep learning approaches such as ChatGPT and LLM.Conclusion: trends from 2023 cover classical NLP tasks (information extraction, text categorization, sentiment analysis), existing topics from several years (medical education), mainstream applications (ChatBot, generative approaches), and specific issues (cancer, COVID-19, mental health). Specifically for COVID-19, current researches deal with post-COVID-19 conditions (PCC), and they explore the understanding of how this pandemic has been managed and welcomed by populations. In addition, due to language models, a few works have been done to process languages other than English, especially using language portability approaches.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

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

Source :

Harvested from HAL