An Application-Independent Approach to Building Task-Oriented Chatbots with Interactive Continual Learning

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

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).”
Self-Initiated Open World Learning for Autonomous AI Agents (2021, methodology): “We are unaware of any such system for SOL except CML (Mazumder et al. 2020), but CML is only for simple command learning.”
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.”
AI Autonomy: Self-initiated Open-world Continual Learning and Adaptation (2022, background): “We are unaware of any such system for SOLA except CML (Mazumder et al. 2020b), but CML is only for simple command learning.”