We provide state-of-the-art models to detect toxic spans in social media texts. We introduce our framework in this paper. We have evaluated our models on Toxic Spans task at SemEval 2021 (Task 5). Our participation in the task is detailed in this paper.

Usage

You can use this model when you have MUDES installed:

pip install mudes

Then you can use the model like this:

python

from mudes.app.mudes_app import MUDESApp

app = MUDESApp("en-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 and can be checked out in here.

Citing & Authors

If you find this model helpful, feel free to cite our publications

bibtex

@inproceedings{ranasinghemudes,
 title={{MUDES: Multilingual Detection of Offensive Spans}}, 
 author={Tharindu Ranasinghe and Marcos Zampieri},  
 booktitle={Proceedings of NAACL},
 year={2021}
}

bibtex

@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}
}

mudes/en-large

MUDES - {Mu}ltilingual {De}tection of Offensive {S}pans

Usage

System Demonstration

Citing & Authors

mudes/
en-large