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

We provide state-of-the-art models to detect toxic spans in social media texts. We introduce our framework in [this paper](https://arxiv.org/abs/2102.09665). We have evaluated our models on Toxic Spans task at SemEval 2021 (Task 5). Our participation in the task is detailed in [this paper](https://arxiv.org/abs/2104.04630).


## 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-base", 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 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}
}
```
{"language": "multilingual", "license": "apache-2.0", "tags": ["mudes"]}
transformers pytorch xlm-roberta token-classification mudes multilingual arxiv:2102.09665 arxiv:2104.04630 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #xlm-roberta #token-classification #mudes #multilingual #arxiv-2102.09665 #arxiv-2104.04630 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


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

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:



Then you can use the model like this:



## 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




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

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:



Then you can use the model like this: ## 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
TAGS
#transformers #pytorch #xlm-roberta #token-classification #mudes #multilingual #arxiv-2102.09665 #arxiv-2104.04630 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 # MUDES - {Mu}ltilingual {De}tection of Offensive {S}pans

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:



Then you can use the model like this: ## 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
passage: TAGS
#transformers #pytorch #xlm-roberta #token-classification #mudes #multilingual #arxiv-2102.09665 #arxiv-2104.04630 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
# MUDES - {Mu}ltilingual {De}tection of Offensive {S}pans

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:



Then you can use the model like this:## 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