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training code for the paper Detoxifying Online Discourse: A Guided Response Generation Approach for Reducing Toxicity in User-Generated Text

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infiniterik/detoxify-train

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Building docker files

docker/Dockerfile.base contains a multistage build container. The first stage builds a bare-bones machine which can be provisioned for data processing, training or testing.

Data processing

Create the data processing image.

docker build --target data -t ihmc-bose/data .

Citations

@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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training code for the paper Detoxifying Online Discourse: A Guided Response Generation Approach for Reducing Toxicity in User-Generated Text

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