[NLG]Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach
總述： 我覺得這篇論文的主要亮點就是不要標註數據。之前趙天成的zero-shot雖然很驚豔，但是迫於每一句話都需要標註dialogu action，所以應用性不強。這篇論文就是結合了趙天成之前的兩篇工作，第一個zero-shot，第二個laed（用於在大規模數據中學習找到對話潛在的latent action）。然後作者就認爲，在大規模無標籤對話中用laed學習可以學到隱式的dialog act
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相關文章
- 1. Deep Reinforcement Learning for Dialogue Generation
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