Automatic Dialogue Generation with Expressed Emotions

NAACL 2018 Chenyang HuangOsmar Za{\"\i}aneAmine TrabelsiNouha Dziri

Despite myriad efforts in the literature designing neural dialogue generation systems in recent years, very few consider putting restrictions on the response itself. They learn from collections of past responses and generate one based on a given utterance without considering, speech act, desired style or emotion to be expressed... (read more)

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