Papers with domain adaptive dialog generation method

1 papers
Domain Adaptive Dialog Generation via Meta Learning (P19-1)

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Challenge: Existing methods to adapt dialog data to new domains with limited resources are expensive . a domain adaptive dialog system model learns from multiple rich-resource tasks and adapts to new tasks with minimal training samples.
Approach: They propose a domain adaptive dialog generation method based on meta-learning . they train a dialog system model using multiple rich-resource single-domain dialog data .
Outcome: The proposed method can learn a competitive dialog system on a new domain with minimal training examples.

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