Retrieve and Refine: Improved Sequence Generation Models For Dialogue

WS 2018 Jason WestonEmily DinanAlexander H. Miller

Sequence generation models for dialogue are known to have several problems: they tend to produce short, generic sentences that are uninformative and unengaging. Retrieval models on the other hand can surface interesting responses, but are restricted to the given retrieval set leading to erroneous replies that cannot be tuned to the specific context... (read more)

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