Adversarial Training for Robust and Generalizable Natural Language Processing

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The progress has been smooth so far. We were able to publish two papers at two international conferences last year. Following the original plan, we explored applying perturbations to other layers of the network during adversarial training, as well as the combination with multi-task learning.The published papers are the following:Lis Kanashiro Pereira, Kevin Duh, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi . Attention-Focused Adversarial Training for Robust Temporal Reasoning. LREC 2022.Lis Kanashiro Pereira, Ichiro Kobayashi. OCHADAI at SemEval-2022 Task 2: Adversarial Training for Multilingual Idiomaticity Detection. SemEval 2022.