TextAT: Adversarial Training for Natural Language Understanding with Token-Level Perturbation

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Abstract:

Adversarial training is effective in improving the robustness of neural networks. In NLP, languages are discrete in nature, separate tokens possess discrete semantics. Therefore, to incorporate adversarial training in sequence-level tasks, we introduce a novel training strategy: Text Adversarial Training with token-level perturbation. W...More

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