Announcement of the German Medical Text Corpus Project (GeMTeX).

German Medical Informatics Initiative Natural Language Processing Text Corpus

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
18 May 2023
Historique:
medline: 22 5 2023
pubmed: 19 5 2023
entrez: 19 5 2023
Statut: ppublish

Résumé

The largest publicly funded project to generate a German-language medical text corpus will start in mid-2023. GeMTeX comprises clinical texts from information systems of six university hospitals, which will be made accessible for NLP by annotation of entities and relations, which will be enhanced with additional meta-information. A strong governance provides a stable legal framework for the use of the corpus. State-of-the art NLP methods are used to build, pre-annotate and annotate the corpus and train language models. A community will be built around GeMTeX to ensure its sustainable maintenance, use, and dissemination.

Identifiants

pubmed: 37203512
pii: SHTI230283
doi: 10.3233/SHTI230283
doi:

Types de publication

Journal Article

Langues

eng

Pagination

835-836

Auteurs

Frank Meineke (F)

University of Leipzig, IMISE, Germany.

Luise Modersohn (L)

Technical University of Munich, AIIM, Germany.

Markus Loeffler (M)

University of Leipzig, IMISE, Germany.

Martin Boeker (M)

Technical University of Munich, AIIM, Germany.

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