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--- |
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language: |
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- en |
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base_model: microsoft/deberta-v3-large |
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--- |
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Social bias classification models (Multi-task learning and single-task fine-tuning) for the paper [Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness](https://aclanthology.org/2024.findings-acl.553/). |
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For details, please see the published paper and the [GitHub repository](https://github.com/webis-de/acl24-dialect-aware-bias-detection). |
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``` |
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@inproceedings{spliethover-etal-2024-disentangling, |
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title = "Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness", |
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author = Splieth{\"o}ver, Maximilian and Menon, Sai Nikhil and Wachsmuth, Henning, |
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booktitle = "Findings of the Association for Computational Linguistics ACL 2024", |
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month = aug, |
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year = "2024", |
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address = "Bangkok, Thailand and virtual meeting", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2024.findings-acl.553", |
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pages = "9294--9313", |
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} |
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``` |
