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Towards Semi-Supervised Learning of Automatic Post-Editing: Data-Synthesis by Infilling Mask with Erroneous Tokens
Semi-supervised learning that leverages synthetic training data has been widely adopted in the field of Automatic post-editing (APE) to overcome the lack of human-annotated training data.
mcBERT: Momentum Contrastive Learning with BERT for Zero-Shot Slot Filling
Zero-shot slot filling has received considerable attention to cope with the problem of limited available data for the target domain.
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