Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
json
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
100K - 1M
Tags:
structure-prediction
License:
Update README.md
Browse files
README.md
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- **Summary:** Concept and Named Entity Recognition (CNER) is a novel task that jointly handles the indentification and classification of concepts and named entities.
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- **Repository:** [https://github.com/Babelscape/cner](https://github.com/Babelscape/cner)
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- **Paper:** [CNER: Concept and Named Entity Recognition](https://aclanthology.org/2024.naacl-long.461/)
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- **Point of Contact:** {martinelli, molfese, tedeschi, navigli}@diag.uniroma1.it
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## Description
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- **Summary:** Concept and Named Entity Recognition (CNER) is a novel task that jointly handles the indentification and classification of concepts and named entities.
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- **Repository:** [https://github.com/Babelscape/cner](https://github.com/Babelscape/cner)
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- **Paper:** [
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- **Point of Contact:** {martinelli, molfese, tedeschi, navigli}@diag.uniroma1.it
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## Dataset Structure
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## Additional Information
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- **Licensing Information**: Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
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- **Citation Information**:
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- **Contributions**: Thanks to [@g185](https://github.com/g185), [@framolfese](https://github.com/framolfese) and [@sted97](https://github.com/sted97) for adding this dataset.
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- **Summary:** Concept and Named Entity Recognition (CNER) is a novel task that jointly handles the indentification and classification of concepts and named entities.
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- **Repository:** [https://github.com/Babelscape/cner](https://github.com/Babelscape/cner)
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- **Paper:** [CNER: Concept and Named Entity Recognition](https://aclanthology.org/2024.naacl-long.461/)
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- **Point of Contact:** {martinelli, molfese, tedeschi, navigli}@diag.uniroma1.it
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## Description
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- **Summary:** Concept and Named Entity Recognition (CNER) is a novel task that jointly handles the indentification and classification of concepts and named entities.
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- **Repository:** [https://github.com/Babelscape/cner](https://github.com/Babelscape/cner)
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- **Paper:** [CNER: Concept and Named Entity Recognition](https://aclanthology.org/2024.naacl-long.461/)
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- **Point of Contact:** {martinelli, molfese, tedeschi, navigli}@diag.uniroma1.it
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## Dataset Structure
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## Additional Information
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- **Licensing Information**: Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
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- **Citation Information**:
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```bibtex
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@inproceedings{martinelli-etal-2024-cner,
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title = "{CNER}: Concept and Named Entity Recognition",
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author = "Martinelli, Giuliano and
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Molfese, Francesco and
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Tedeschi, Simone and
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Fern{\'a}ndez-Castro, Alberte and
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Navigli, Roberto",
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editor = "Duh, Kevin and
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Gomez, Helena and
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Bethard, Steven",
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booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
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month = jun,
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year = "2024",
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address = "Mexico City, Mexico",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2024.naacl-long.461",
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pages = "8329--8344"
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}
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```
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- **Contributions**: Thanks to [@g185](https://github.com/g185), [@framolfese](https://github.com/framolfese) and [@sted97](https://github.com/sted97) for adding this dataset.
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