Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Size:
< 1K
License:
Update citation
Browse files
README.md
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@@ -56,6 +56,8 @@ For each article we extracted the first two paragraphs after the lead paragraph.
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We followed the guidelines of the CoNLL-2002 and 2003 shared tasks and annotated the names of persons, organizations, locations and miscellaneous entities.
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The annotation was performed by a single annotator.
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## License
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- Text paragraphs: © Swiss Broadcasting Corporation (SRG SSR)
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- Annotations: Attribution 4.0 International (CC BY 4.0)
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## Citation
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```bibtex
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}
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```
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We followed the guidelines of the CoNLL-2002 and 2003 shared tasks and annotated the names of persons, organizations, locations and miscellaneous entities.
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The annotation was performed by a single annotator.
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When using this dataset, please consider citing our paper, ["SwissBERT: The Multilingual Language Model for Switzerland"](https://aclanthology.org/2023.swisstext-1.6/) (SwissText 2023).
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## License
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- Text paragraphs: © Swiss Broadcasting Corporation (SRG SSR)
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- Annotations: Attribution 4.0 International (CC BY 4.0)
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## Citation
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```bibtex
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@inproceedings{vamvas-etal-2023-swissbert,
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title = "{S}wiss{BERT}: The Multilingual Language Model for {S}witzerland",
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author = {Vamvas, Jannis and
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Gra{\"e}n, Johannes and
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Sennrich, Rico},
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editor = {Ghorbel, Hatem and
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Sokhn, Maria and
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Cieliebak, Mark and
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H{\"u}rlimann, Manuela and
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de Salis, Emmanuel and
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Guerne, Jonathan},
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booktitle = "Proceedings of the 8th edition of the Swiss Text Analytics Conference",
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month = jun,
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year = "2023",
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address = "Neuchatel, Switzerland",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2023.swisstext-1.6",
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pages = "54--69",
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}
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```
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