Logic Against Bias: Textual Entailment Mitigates Stereotypical Sentence Reasoning (2023.eacl-main)
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| Challenge: | Recent studies show that textual entailment learning reduces social biases in pretrained sentence encoders. |
| Approach: | They compare pretrained sentence encoders with textual entailment models that learn language logic for downstream language understanding tasks. |
| Outcome: | The proposed models outperform models with lower bias without debiasing processes on stereotype, profession, and emotion bias tests. |
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