Lifelong and Continual Learning Dialogue Systems / Synthesis Lectures on Human Language Technologies (PDF)
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...
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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
Bing Liu is a Distinguished Professor of Computer Science at the University of Illinois at Chicago, USA. He received his Ph.D. in Artificial Intelligence from the University of Edinburgh, UK. His research interests include lifelong and continual learning, lifelong learning dialogue systems, open-world learning, sentiment analysis and opinion mining, machine learning, and natural language processing. He has published extensively in top conferences and journals in these areas and has authored four books. Three of his papers have received Test-of-Time awards and another received Test-of-Time honorable mention. He is the winner of 2018 ACM SIGKDD Innovation Award and is a Fellow of AAAI, ACM, and IEEE.
- Autoren: Sahisnu Mazumder , Bing Liu
- 2024, 1st ed. 2024, 171 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3031481895
- ISBN-13: 9783031481895
- Erscheinungsdatum: 08.01.2024
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- Größe: 5.89 MB
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