GGTWEAK: Gene Tagging with Weak Supervision for German Clinical Text-Reference-Cited by-同舟云学术

GGTWEAK: Gene Tagging with Weak Supervision for German Clinical Text

Published:2023 Issue: Volume: Page:183-192
ISSN:0302-9743
Container-title:Artificial Intelligence in Medicine
language:
Short-container-title:

Author:

Steinwand Sandro^ORCID,Borchert Florian^ORCID,Winkler Silvia^ORCID,Schapranow Matthieu-P.^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-34344-5_22

Reference27 articles.

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2. Borchert, F., et al..: GGPOnc: A corpus of German medical text with rich metadata based on clinical practice guidelines. In: Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis. pp. 38–48 (2020)

3. Borchert, F., et al.: GGPOnc 2.0 - the German clinical guideline corpus for oncology: Curation workflow, annotation policy, baseline ner taggers. In: Proceedings of the Thirteenth Language Resources and Evaluation Conference, pp. 3650–3660 (2022)

4. Bressem, K.K., et al.: MEDBERT.de: A comprehensive German BERT model for the medical domain. arXiv (2023). https://doi.org/10.48550/ARXIV.2303.08179

5. Brown, G.R., et al.: Gene: a gene-centered information resource at NCBI. Nucleic Acids Res. 43(D1), D36–D42 (2015)

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