Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation

23 Jan 2020Kang Min YooHanbit LeeFranck DernoncourtTrung BuiWalter ChangSang-goo Lee

Recent works have shown that generative data augmentation, where synthetic samples generated from deep generative models are used to augment the training dataset, benefit certain NLP tasks. In this work, we extend this approach to the task of dialog state tracking for goal-oriented dialogs... (read more)

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