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2022 NAACL NAACL 2022

Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition

AbstractWe propose novel AI-empowered chat bots for learning as conversation where a user does not read a passage but gains information and knowledge through conversation with a teacher bot. Our information acquisition-oriented dialogue system employs a novel adaptation of reinforced self-play so that the system can be transferred to various domains without in-domain dialogue data, and can carry out conversations both informative and attentive to users.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing and Reinforcement Learning

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