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Titlebook: Natural Language Generation; Ehud Reiter Textbook 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springe

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发表于 2025-3-21 18:28:52 | 显示全部楼层 |阅读模式
书目名称Natural Language Generation
编辑Ehud Reiter
视频videohttp://file.papertrans.cn/670/669623/669623.mp4
概述Comprehensive NLG Overview: covers rule-based, neural approaches, user requirements, evaluation, testing and safety.Longevity and Relevance: Focuses on high-level concepts and methodologies for enduri
图书封面Titlebook: Natural Language Generation; Ehud Reiter Textbook 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springe
描述.In late 2022, the prominence of Natural Language Generation (NLG) surged with the advent of advanced language models like ChatGPT. While these developments have captivated both academic and commercial sectors, the focus has predominantly been on the latest innovations, often overlooking the rich history and foundational work in NLG. This book aims to provide a comprehensive overview of NLG, encompassing not only language models but also alternative approaches, user requirements, evaluation methods, safety and testing protocols, and practical applications. Drawing on decades of NLG research, the book is designed to be a valuable resource for both researchers and developers, offering insights that remain relevant far beyond the current technological landscape...Natural Language Generation. focuses on data-to-text but also looks at other types of NLG including text summarization.  The book takes a holistic approach to NLG, looking at requirements (what users are looking for), design, data issues, testing, evaluation, safety and ethical issues as well as technology.   The holistic approach is unique to this book and is very valuable for people building real-world NLG systems, and for
出版日期Textbook 2025
关键词Data-to-Text; Text Summarisation; Text Summarization; Natural Language Processing; Natural Language Engi
版次1
doihttps://doi.org/10.1007/978-3-031-68582-8
isbn_softcover978-3-031-68584-2
isbn_ebook978-3-031-68582-8
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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发表于 2025-3-22 00:06:57 | 显示全部楼层
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发表于 2025-3-22 05:58:40 | 显示全部楼层
Ehud Reiterschiede" ist aktueller denn je und macht auch vor Kliniken u.Kulturelle Unterschiede wahrnehmen und danach handeln.....Das Thema "Kulturen" ist aktueller denn je und macht auch vor Kliniken und Praxen nicht halt. Besonders bei psychischen Erkrankungen muss, schon aus biographischen Gründen, der kult
HARP
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发表于 2025-3-22 12:39:16 | 显示全部楼层
Rule-Based NLG,generated texts. Rule-based NLG has been overshadowed by neural NLG in recent years, but it is still the best way to build some NLG applications. Rule-based NLG also shows the types of decisions which need to be made in text generation. A good understanding of this helps anyone working in NLG, even
habile
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发表于 2025-3-22 15:18:28 | 显示全部楼层
Requirements,looks at some of the different quality criteria that people may care about, workflows for using NLG (including human-in-the-loop), textual vs. graphical presentation of information, and methodologies for understanding (acquiring) requirements.
Wallow
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发表于 2025-3-22 17:26:12 | 显示全部楼层
Evaluation,that are rigorous and replicable. This chapter discusses basic evaluation concepts and then describes techniques for human and automatic (metric) evaluation. It also looks at evaluating real-world impact of NLG systems and commercial evaluation.
Intuitive
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特征
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发表于 2025-3-23 02:24:30 | 显示全部楼层
Applications,cusses some fundamental issues (such as scalability) and then looks in more detail at four areas which NLG has been used commercially for many years: journalism, business intelligence, summarisation, and medicine. Lessons from these long-standing NLG use cases can be applied to newer applications of
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