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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