Papers by Deborah Hall
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach (2021.acl-long)
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| Challenge: | Existing efforts to enhance the performance of session-based cyberbullying detection have overlooked unintended social biases in existing datasets. |
| Approach: | They propose a model-agnostic debiasing strategy that leverages a reinforcement learning technique to mitigate unintended biases in existing datasets. |
| Outcome: | The proposed approach can mitigate unintended biases without impairing the detection performance. |