Development of pre-trained language models for clinical NLP in Spanish

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2 Scopus citations

Abstract

Clinical natural language processing aims to tackle language and prediction tasks using text from medical practice, such as clinical notes, prescriptions, and discharge summaries. Several approaches have been tried to deal with these tasks. Since 2017, pre-trained language models (PLMs) have achieved state-of-the-art performance in many tasks. However, most works have been developed in English. This PhD research proposal addresses the development of PLMs for clinical NLP in Spanish. To carry out this study, we will build a clinical corpus big enough to implement a functional PLM. We will test several PLM architectures and evaluate them with language and prediction tasks. The novelty of this work lies in the use of only clinical text, while previous clinical PLMs have used a mix of general, biomedical, and clinical text.

Original languageEnglish
Title of host publicationEACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages52-60
Number of pages9
ISBN (Electronic)9781959429487
DOIs
StatePublished - 2023
Externally publishedYes
Event17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023: Student Research Workshop, SRW 2023 - Dubrovnik, Croatia
Duration: 2 May 20234 May 2023

Publication series

NameEACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop

Conference

Conference17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023: Student Research Workshop, SRW 2023
Country/TerritoryCroatia
CityDubrovnik
Period2/05/234/05/23

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