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legalhatespeech

Code for the paper "Legally Enforceable Hate Speech Detection for Public Forums" published in Findings of EMNLP 2023 (paper link)

Generating silver data

  1. Sample easy negatives using dataset/sampling negatives.ipynb
  2. Generate the labels with silver label generation.ipynb
  3. Unify the natural text generations with legal annotations with silver data refactor.ipynb
  4. (Optional) Run the notebook data/construct final dataset.ipynb to generate prompt files into the directories data/train and data/test.

Zero-shot experiments

All code is available under zeroshot. This requires the prepared data, or you can use the prompt formatting directly from data/construct final dataset.ipynb.

Self-training

Run the notebook data/construct final dataset.ipynb to generate prompt files into the directories data/train and data/test. This notebook requires the data files.

Contact and citations

If you are using this code or our data, please cite our EMNLP paper:

@inproceedings{luo-etal-2023-legally,
    title = "Legally Enforceable Hate Speech Detection for Public Forums",
    author = "Luo, Chu Fei and
      Bhambhoria, Rohan  and
      Dahan, Samuel  and
      Zhu, Xiaodan",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2023",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.findings-emnlp.730",
    doi = "10.18653/v1/2023.findings-emnlp.730",
    pages = "10948--10963",
}

Please email [email protected] for the data. We are considering uploading the dataset to Huggingface, but this is still TBD. Thank you!