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A quick glance
Introducing COBRA frames, a context-aware approach to understanding offensive language. It emphasizes the significance of social and situational context in interpreting statements. We also created COBRACORPUS, a dataset of offensive statements paired with context and explanations. We trained models to generate COBRA explanations, finding that context-aware models significantly outperform context-agnostic ones, especially when the context changes the offensiveness of the statement. Our work underscores the importance of considering social factors in NLP models.
👉 (on the right), as illstrated in the figure, our formalism enables counterfactual reasoning about contexts that invert the statements’ offensiveness.
Citations
@inproceedings{zhou2023cobraframes,
title={{COBRA Frames: Contextual Reasoning about
Effects and Harms of Offensive Statements}},
author={Zhou, Xuhui and Zhu, Hao and Yerukola, Akhila and Davidson, Thomas and
Hwang, Jena D. and Swayamdipta, Swabha and Sap, Maarten},
year={2023},
booktitle={{Findings of ACL}},
url={{http://arxiv.org/abs/2306.01985}}
}