Papers with latent action learning

1 papers
Generalizable and Explainable Dialogue Generation via Explicit Action Learning (2020.findings-emnlp)

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Challenge: Conditioned response generation for task-oriented dialogues implicitly optimizes task completion and language quality.
Approach: They propose to learn natural language actions that represent utterances as a span of words.
Outcome: The proposed approach outperforms latent action baselines on a multi-domain dataset.

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