Hierarchical Text Generation and Planning for Strategic Dialogue

ICML 2018 Denis YaratsMike Lewis

End-to-end models for goal-orientated dialogue are challenging to train, because linguistic and strategic aspects are entangled in latent state vectors. We introduce an approach to learning representations of messages in dialogues by maximizing the likelihood of subsequent sentences and actions, which decouples the semantics of the dialogue utterance from its linguistic realization... (read more)

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