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Title:

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

Document type:
Journal Article
Author(s):
Meineke, Frank; Modersohn, Luise; Loeffler, Markus; Boeker, Martin
Abstract:
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 an...     »
Journal title abbreviation:
Stud Health Technol Inform
Year:
2023
Journal volume:
302
Pages contribution:
835-836
Fulltext / DOI:
doi:10.3233/SHTI230283
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/37203512
Print-ISSN:
0926-9630
TUM Institution:
Lehrstuhl für Medizinische Informatik (Prof. Boeker)
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