most citedCSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking

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cs.CL2022★ 1 cited

CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking

Haoning Zhang, Junwei Bao, Haipeng Sun +3

Few-shot dialogue state tracking (DST) is a realistic problem that trains the DST model with limited labeled data. Existing few-shot methods mainly transfer knowledge learned from…