2022
NAACL
NAACL 2022
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition
Abstract
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.
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Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing and Reinforcement Learning