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+ # MUDES - {Mu}ltilingual {De}tection of Offensive {S}pans
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+ We provide state-of-the-art models to detect toxic spans in text. We have evaluated our models on Toxic Spans task at SemEval 2021 (Task 5).
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+
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+ ## Usage
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+ You can use this model when you have [MUDES](https://github.com/TharinduDR/MUDES) installed:
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+
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+ ```bash
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+ pip install mudes
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+ ```
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+
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+ Then you can use the model like this:
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+
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+ ```python
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+ from mudes.app.mudes_app import MUDESApp
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+
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+ app = MUDESApp("multilingual-large", use_cuda=False)
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+ print(app.predict_toxic_spans("You motherfucking cunt", spans=True))
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+
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+ ```
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+
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+ ## System Demonstration
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+ An experimental demonstration interface called MUDES-UI has been released on [GitHub](https://github.com/TharinduDR/MUDES-UI) and can be checked out in [here](http://rgcl.wlv.ac.uk/mudes/).
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+
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+
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+ ## Citing & Authors
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+
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+ If you find this model helpful, feel free to cite our publication
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+
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+ ```bash
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+ @inproceedings{ranasinghemudes,
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+ title={{MUDES: Multilingual Detection of Offensive Spans}},
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+ author={Tharindu Ranasinghe and Marcos Zampieri},
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+ booktitle={Proceedings of NAACL},
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+ year={2021}
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+ }
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+ ```
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+
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+ ```bash
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+ @inproceedings{ranasinghe2021semeval,
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+ title={{WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans}},
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+ author = {Ranasinghe, Tharindu and Sarkar, Diptanu and Zampieri, Marcos and Ororbia, Alex},
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+ booktitle={Proceedings of SemEval},
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+ year={2021}
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+ }
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+ ```