[examples/turing] - rename it to turing
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title: Large-Scale Hate Speech Detection with Cross-Domain Transfer
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link-to-publication: https://aclanthology.org/2022.lrec-1.238/
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link-to-data: https://github.com/avaapm/hatespeech
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task-description: Three-class (Hate speech, Offensive language, None)
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details-of-task: Hate speech detection on social media (Twitter) including 5 target groups (gender, race, religion, politics, sports)
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size-of-dataset: "100k English (27593 hate, 30747 offensive, 41660 none)"
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percentage-abusive: 58.3
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language: English
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level-of-annotation: ["Posts"]
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platform: ["Twitter"]
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medium: ["Text", "Image"]
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reference: "Cagri Toraman, Furkan Şahinuç, Eyup Yilmaz. 2022. Large-Scale Hate Speech Detection with Cross-Domain Transfer. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 2215–2225, Marseille, France. European Language Resources Association."
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