Continuous and Interactive Factual Knowledge Learning in Veriﬁcation Dialogues

How researchers see this paper

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Lifelong and Continual Learning Dialogue Systems: Learning during Conversation (2021, methodology): “Some initial attempts have been made in (Mazumder et al. 2020a,b, 2019; Hancock et al. 2019; Luo et al. 2019).”
AI Autonomy: Self-initiated Open-world Continual Learning and Adaptation (2022, background): “Over time, CML learns more and more from users and becomes more and more knowledgeable and powerful in serving them.”
Lifelong Knowledge Learning in Rule-based Dialogue Systems (2020, background): “…in Rule-based Dialogue Systems Bing Liu 1 and Chuhe Mei 2 1 University of Illinois at Chicago 2 Peking University liub@uic.edu The most closely related works to ours are those in (Mazumder et al., 2019, 2020a), which attempt to build an engine for learning factual knowledge during chatting.”