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Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractZero-shot transfer learning for multi-domain dialogue state tracking can allow us to handle new domains without incurring the high cost of data acquisition. This paper proposes new zero-short transfer learning …...

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N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractAugmentation of task-oriented dialogues has followed standard methods used for plain-text such as back-translation, word-level manipulation, and paraphrasing despite its richly annotated structure. In this work, we introduce an augmentation …...

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