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Titlebook: Lifelong and Continual Learning Dialogue Systems; Sahisnu Mazumder,Bing Liu Book 2024 The Editor(s) (if applicable) and The Author(s), und

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發(fā)表于 2025-3-21 19:25:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Lifelong and Continual Learning Dialogue Systems
編輯Sahisnu Mazumder,Bing Liu
視頻videohttp://file.papertrans.cn/586/585948/585948.mp4
概述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 dia
叢書名稱Synthesis Lectures on Human Language Technologies
圖書封面Titlebook: Lifelong and Continual Learning Dialogue Systems;  Sahisnu Mazumder,Bing Liu Book 2024 The Editor(s) (if applicable) and The Author(s), und
描述.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.?.
出版日期Book 2024
關(guān)鍵詞Lifelong Machine Learning; Lifelong Learning; Continual Learning; Dialogue Systems; Interactive Systems
版次1
doihttps://doi.org/10.1007/978-3-031-48189-5
isbn_softcover978-3-031-48191-8
isbn_ebook978-3-031-48189-5Series ISSN 1947-4040 Series E-ISSN 1947-4059
issn_series 1947-4040
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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978-3-031-48191-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Conclusion and Future Directions,This chapter concludes the book and discusses research challenges and future directions.
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Sahisnu Mazumder,Bing LiuProvides 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 dia
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Open-World Continual Learning: A Framework,d . ground-truth training data and . the unknowns/novelties are critical to making AI agents more and more knowledgeable and powerful over time. This chapter presents a theoretical framework for this new paradigm. The framework is called Self-initiated Open-world continual Learning and Adaptation (SOLA).
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