Datasets:
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README.md
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- **Homepage:** [http://blog.thedeep.io/humset/](http://blog.thedeep.io/humset/)
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- **Repository:** [https://github.com/the-deep/humset](https://github.com/the-deep/humset)
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- **Paper:** [EMNLP Findings 2022](https://
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- **Leaderboard:**
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- **Point of Contact:**[the DEEP NLP team](mailto:[email protected])
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### Citation Information
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```
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@
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}
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```
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- **Homepage:** [http://blog.thedeep.io/humset/](http://blog.thedeep.io/humset/)
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- **Repository:** [https://github.com/the-deep/humset](https://github.com/the-deep/humset)
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- **Paper:** [EMNLP Findings 2022](https://aclanthology.org/2022.findings-emnlp.321)
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- **Leaderboard:**
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- **Point of Contact:**[the DEEP NLP team](mailto:[email protected])
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### Citation Information
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```
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@inproceedings{fekih-etal-2022-humset,
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title = "{H}um{S}et: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crises Response",
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author = "Fekih, Selim and
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Tamagnone, Nicolo{'} and
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Minixhofer, Benjamin and
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Shrestha, Ranjan and
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Contla, Ximena and
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Oglethorpe, Ewan and
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Rekabsaz, Navid",
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booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2022",
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month = dec,
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year = "2022",
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address = "Abu Dhabi, United Arab Emirates",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2022.findings-emnlp.321",
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pages = "4379--4389",
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}
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```
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