| # 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} | |
| } | |
| ``` |