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---
license: apache-2.0
language:
- en
---
# `infiniterik/desc-detoxify-sicon`
<!-- Provide a quick summary of what the model is/does. -->
Fine-tuned instance of [T5-Large](https://huggingface.co/t5-large) for detoxifying discourse surrounding abortion debate.
Implementation and ethical considerations are listed in the paper [Detoxifying Online Discourse: A Guided Response Generation Approach for Reducing Toxicity in User-Generated Text](https://github.com/infiniterik/detoxify/blob/main/pdfs/detoxify-paper.pdf).
Github repository can be found [here](https://www.github.com/infiniterik/detoxify).
## Citation
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
```
@inproceedings{bose-etal-2023-detoxifying,
title = "Detoxifying Online Discourse: A Guided Response Generation Approach for Reducing Toxicity in User-Generated Text",
author = "Bose, Ritwik and Perera, Ian and Dorr, Bonnie",
booktitle = "Proceedings of the First Workshop on Social Influence in Conversations (SICon 2023)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.sicon-1.2",
pages = "9--14"
}
```
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