TY  - BOOK
AU  - Mazumder,Sahisnu
AU  - Liu,Bing
ED  - SpringerLink (Online service)
TI  - Lifelong and Continual Learning Dialogue Systems
T2  - Synthesis Lectures on Human Language Technologies,
SN  - 9783031481895
AV  - QA76.9.N38 
PY  - 2024///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Natural language processing (Computer science)
KW  - Artificial intelligence
KW  - Machine learning
KW  - Expert systems (Computer science)
KW  - Computational linguistics
KW  - Computer science
KW  - Natural Language Processing (NLP)
KW  - Artificial Intelligence
KW  - Machine Learning
KW  - Knowledge Based Systems
KW  - Computational Linguistics
KW  - Computer Science
N1  - 1 Introduction -- 2 Open-world Continual Learning: A Framework -- 3 Continuous Factual Knowledge Learning in Dialogues -- 4 Continuous and Interactive Language Learning and Grounding -- 5 Continual Learning in Chit-chat Systems -- 6 Continual Learning for Task-oriented Dialogue Systems -- 7 Continual Learning of Conversational Skills -- 8 Conclusion and Future Directions
N2  - This book introduces the new paradigm of lifelong and continual learning dialogue systems to endow dialogue systems with the ability to learn continually by themselves through their own self-initiated interactions with their users and the working environments. The authors present the latest developments and techniques for building such continual learning dialogue systems. The book explains how these developments allow systems to continuously learn new language expressions, lexical and factual knowledge, and conversational skills through interactions and dialogues. Additionally, the book covers techniques to acquire new training examples for learning new tasks during the conversation. The book also reviews existing work on lifelong learning and discusses areas for future research. Provides background on the categories of dialogue systems, including their problems and weaknesses Provides a framework for open-world continual learning and explains how it can be used to improve dialogue systems Focuses on how lifelong learning dialogue systems can be built and deployed for practical applications
UR  - https://doi.org/10.1007/978-3-031-48189-5
ER  -