# MUDES - {Mu}ltilingual {De}tection of Offensive {S}pans 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). ## Usage You can use this model when you have [MUDES](https://github.com/TharinduDR/MUDES) installed: ```bash pip install mudes ``` Then you can use the model like this: ```python from mudes.app.mudes_app import MUDESApp app = MUDESApp("multilingual-large", use_cuda=False) print(app.predict_toxic_spans("You motherfucking cunt", spans=True)) ``` ## System Demonstration 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/). ## Citing & Authors If you find this model helpful, feel free to cite our publication ```bash @inproceedings{ranasinghemudes, title={{MUDES: Multilingual Detection of Offensive Spans}}, author={Tharindu Ranasinghe and Marcos Zampieri}, booktitle={Proceedings of NAACL}, year={2021} } ``` ```bash @inproceedings{ranasinghe2021semeval, title={{WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans}}, author = {Ranasinghe, Tharindu and Sarkar, Diptanu and Zampieri, Marcos and Ororbia, Alex}, booktitle={Proceedings of SemEval}, year={2021} } ```