Published April 20, 2023 | Version v1
Dataset Open

CoRAL: a Context-aware Croatian Abusive Language Dataset

Authors/Creators

  • 1. University of Essex
  • 2. Queen Mary University of London
  • 3. Queen Mary University of London / Jožef Stefan Institute

Contributors

Project leader:

  • 1. University of Essex
  • 2. Queen Mary University of London
  • 3. Queen Mary University of London / Jožef Stefan Institute

Description

CoRAL is a language and culturally aware Croatian Abusive dataset covering phenomena of implicitness and reliance on local and global context. See our paper: Ravi Shekhar, Mladen Karan and Matthew Purver. CoRAL: a Context-aware Croatian Abusive Language Dataset. Findings of the ACL: AACL-IJCNLP, November 2022, https://aclanthology.org/2022.findings-aacl.21/.

Notes

Funded by the project RobaCOFI (Robust and adaptable comment filtering), which indirectly received funding from the European Union's Horizon 2020 research and innovation action programme via the AI4Media Open Call #1 issued and executed under the AI4Media project (Grant Agreement no. 951911).

Files

CoRAL_ann1.csv

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Additional details

Related works

Is published in
Dataset: https://github.com/shekharRavi/CoRAL-dataset-Findings-of-the-ACL-AACL-IJCNLP-2022 (URL)

Funding

European Commission
AI4Media - A European Excellence Centre for Media, Society and Democracy 951911

References

  • Ravi Shekhar, Mladen Karan and Matthew Purver (2022). CoRAL: a Context-aware Croatian Abusive Language Dataset. Findings of the ACL: AACL-IJCNLP.