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dataset: |
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-hatexplain |
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The model is used for classifying a text as **Hatespeech**, **Offensive**, or **Normal**. The model is trained using data from Gab and Twitter and *Human Rationales* were included as part of the training data to boost the performance. |
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The dataset and models are available here: https://github.com/punyajoy/HateXplain |
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**For more details about our paper** |
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Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, and Animesh Mukherjee "[HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection)". Accepted at AAAI 2021. |
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***Please cite our paper in any published work that uses any of these resources.*** |
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~~~ |
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@article{mathew2020hatexplain, |
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title={HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection}, |
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author={Mathew, Binny and Saha, Punyajoy and Yimam, Seid Muhie and Biemann, Chris and Goyal, Pawan and Mukherjee, Animesh}, |
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journal={arXiv preprint arXiv:2012.10289}, |
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year={2020} |
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} |
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~~~ |
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