Classification as Decoder: Trading Flexibility for Control in Medical Dialogue

Generative seq2seq dialogue systems are trained to predict the next word in dialogues that have already occurred. They can learn from large unlabeled conversation datasets, build a deeper understanding of conversational context, and generate a wide variety of responses. This flexibility comes at the...

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Hauptverfasser:	Shleifer, Sam, Chablani, Manish, Kannan, Anitha, Katariya, Namit, Amatriain, Xavier
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Learning
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