Titlebook: Dialogues with Social Robots; Enablements, Analyse Kristiina Jokinen,Graham Wilcock Book 2017 Springer Science+Business Media Singapore 201

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: A Simple Deep Reinforcement Learning Dialogue Systemnt learning dialogue systems, this system avoids manual feature engineering by performing action selection directly from raw text of the last system and (noisy) user responses. Our initial results, in the restaurant domain, report that it is indeed possible to induce reasonable behaviours with such

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Natural Language Dialog System Considering Speaker’s Emotion Calculated from Acoustic Featuresalso enjoy non-task-oriented conversation with the computer. When an IVR system generates a response, it usually refers to just verbal information of the user’s utterance. However, when a person gloomily says “I’m fine,” people will respond not by saying “That’s wonderful” but “Really?” or “Are you

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