一本面向应用的自然语言生成技术指南，强调长期有效的核心理念。
Natural Language Generation
- 系统梳理规则、机器学习与神经网络在自然语言生成中的应用
- 涵盖需求分析、评估方法及安全维护等实际开发关键环节
- 适合从事实际NLG应用的研究者与开发者，非最新大模型技术
本书全面概述了自然语言生成（NLG）的技术、用户需求、评估方法及现实应用场景。重点聚焦于经得起时间考验的概念与洞察，而非最新的大语言模型（LLM）进展。内容基于作者多年积累及领域内多方研究成果，涵盖章节包括：NLG导论、基于规则的NLG、机器学习与神经NLG、需求分析、评估、安全、维护与测试，以及应用实践。各章均包含作者个人经验案例与进一步阅读建议。本书特别适合从事实际NLG应用的研究人员、跨领域使用者及商业开发者，但不适合希望了解最新大模型技术的读者。配套网站提供更多信息：https://ehudreiter.com/book/
原文摘要 · Abstract (English)
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/
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