自然语言生成
Natural Language Generation
AI总结：
本书系统概述 NLG 的技术、需求、评估、安全与应用，强调长期概念而非最新 LLM，适合应用型研究者、跨领域使用者和商业开发者。
摘要：
本书对 Natural Language Generation（NLG，自然语言生成）进行了广泛概述，内容涵盖技术、用户需求、评估以及实际应用。其重点在于有望在未来许多年仍保持相关性的概念和洞见，而非最新的 LLM 创新。本书借鉴了作者及其他人数十年来在 NLG 方面的工作。\n本书包含以下章节：NLG 导论；基于规则的 NLG；机器学习与神经 NLG；需求；评估；安全性、维护与测试；以及应用。所有章节都包含来自作者个人经历的示例和轶事，并在结尾设有“延伸阅读”部分。\n本书应对从事应用型 NLG 工作的人员特别有用，包括 NLG 研究人员、其他领域中希望使用 NLG 的人员，以及商业开发者。然而，它并不适合想要了解最新 LLM 技术的人。\n本书还有一个配套网站，提供更多信息，网址为 https://ehudreiter.com/book/
英文摘要：
This book provides a broad overview of Natural Language Generation (NLG), including technology, user requirements, evaluation, and real-world applications. The focus is on concepts and insights which hopefully will remain relevant for many years, not on the latest LLM innovations. It draws on decades of work by the author and others on NLG. The book has the following chapters: Introduction to NLG; Rule-Based NLG; Machine Learning and Neural NLG; Requirements; Evaluation; Safety, Maintenance, and Testing; and Applications. All chapters include examples and anecdotes from the author's personal experiences, and end with a Further Reading section. The book should be especially useful to people working on applied NLG, including NLG researchers, people in other fields who want to use NLG, and commercial developers. It will not however be useful to people who want to understand the latest LLM technology. There is a companion site with more information at https://ehudreiter.com/book/
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
