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upload hub_repos/ggponc2/README.md to hub from bigbio repo
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README.md
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---
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language:
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- de
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bigbio_language:
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- German
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multilinguality: monolingual
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pretty_name: GGPONC2
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homepage: https://www.leitlinienprogramm-onkologie.de/projekte/ggponc-english/
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bigbio_pubmed: false
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bigbio_public: flase
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bigbio_tasks:
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- NAMED_ENTITY_RECOGNITION
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---
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# Dataset Card for GGPONC2
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## Dataset Description
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- **Homepage:** https://www.leitlinienprogramm-onkologie.de/projekte/ggponc-english/
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- **Pubmed:** False
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- **Public:** False
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- **Tasks:** NER
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The GGPONC project aims to provide a freely distributable corpus of German medical text for NLP researchers.
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Clinical guidelines are particularly suitable to create such corpora, as they contain no protected health information
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(PHI), which distinguishes them from other kinds of medical text.
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The second version of the corpus (GGPONC 2.0) consists of 30 German oncology guidelines with 1.87 million tokens.
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It has been completely manually annotated on the entity level by 7 medical students using the INCEpTION platform over a
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time frame of 6 months in more than 1200 hours of work. This makes GGPONC 2.0 the largest annotated, freely
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distributable corpus of German medical text at the moment.
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Annotated entities are Findings (Diagnosis / Pathology, Other Finding), Substances (Clinical Drug, Nutrients / Body
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Substances, External Substances) and Procedures (Therapeutic, Diagnostic), as well as Specifications for these entities.
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In total, annotators have created more than 200000 entity annotations. In addition, fragment relationships have been
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annotated to explicitly indicate elliptical coordinated noun phrases, a common phenomenon in German text.
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## Citation Information
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```
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@inproceedings{borchert-etal-2022-ggponc,
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title = "{GGPONC} 2.0 - The {G}erman Clinical Guideline Corpus for Oncology: Curation Workflow, Annotation Policy, Baseline {NER} Taggers",
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author = "Borchert, Florian and
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Lohr, Christina and
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Modersohn, Luise and
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Witt, Jonas and
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Langer, Thomas and
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Follmann, Markus and
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Gietzelt, Matthias and
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Arnrich, Bert and
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Hahn, Udo and
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Schapranow, Matthieu-P.",
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booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
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month = jun,
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year = "2022",
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address = "Marseille, France",
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publisher = "European Language Resources Association",
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url = "https://aclanthology.org/2022.lrec-1.389",
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pages = "3650--3660",
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}
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```
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