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@@ -6,13 +6,21 @@ license: afl-3.0
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  This model is used detecting **abusive speech** in **Bengali**. It is finetuned on MuRIL model using bengali abusive speech dataset.
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  The model is trained with learning rates of 2e-5. Training code can be found at this [url](https://github.com/hate-alert/IndicAbusive)
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  ### For more details about our paper
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- Coming soon
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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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- Coming soon
 
 
 
 
 
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  ~~~
 
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  This model is used detecting **abusive speech** in **Bengali**. It is finetuned on MuRIL model using bengali abusive speech dataset.
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  The model is trained with learning rates of 2e-5. Training code can be found at this [url](https://github.com/hate-alert/IndicAbusive)
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+ LABEL_0 :-> Normal
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+
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+ LABEL_1 :-> Abusive
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  ### For more details about our paper
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+ Mithun Das, Somnath Banerjee and Animesh Mukherjee. "[Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages](https://arxiv.org/abs/2204.12543)". Accepted at ACM HT 2022.
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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{das2022data,
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+ title={Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages},
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+ author={Das, Mithun and Banerjee, Somnath and Mukherjee, Animesh},
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+ journal={arXiv preprint arXiv:2204.12543},
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+ year={2022}
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+ }
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  ~~~