 |
5 books on Natural Language Generation [PDF]
Updated: February 02, 2024 | 26 |
Books on Natural Language Generation (NLG) serve as indispensable resources for startups specializing in Generative AI and NLG solutions. These resources offer a comprehensive foundation, covering various aspects of NLG, including text generation, content creation, and storytelling. They delve into advanced techniques like deep learning, text summarization, and context-aware generation, emphasizing the importance of generating human-like text that is coherent and contextually relevant. Moreover, these books often include practical examples, datasets, and best practices, enabling startups to fine-tune their NLG systems for a wide range of applications, from content generation for marketing and journalism to chatbots and virtual assistants.
1. Stone Age Code: From Monkey Business to AI
2021 by Shane Neeley
In "Stone Age Code: From Monkey Business to AI," readers will explore the realms of deep learning with neural networks, natural language generation, and AI-driven art. Despite the seemingly technical nature of these subjects, Shane Neeley presents them in an engaging and approachable manner. This book dispels the misconception that mathematical prowess is a prerequisite for coding, as it contains neither equations nor actual code. Instead, it imparts a foundational understanding of machine learning concepts in a delightful and entertaining fashion. Whether you aspire to be a pioneer in AI for future generations or simply wish to dabble in creating amusing robots with a penchant for quirky statements, this book introduces you to the realms of computational creativity and humor, offering a fun playground for exploration.
Download PDF
2. Natural Language Generation in Interactive Systems
2014 by Amanda Stent, Srinivas Bangalore
"Offering an in-depth and informative overview of the current landscape of natural language generation (NLG) in interactive systems, this guide is tailored for graduate students and emerging researchers seeking an introduction to the realms of natural language processing and artificial intelligence, as well as sparking ideas for future exploration. Focusing on NLG techniques and challenges in interactive applications, the book delves into systems capable of modeling collaboration and handling uncertainty, facilitating incremental scalability, and effectively engaging users. Real-world case studies are featured alongside an extensive bibliography and references to valuable resources, including corpora, data, software, and more, to support research endeavors in NLG and interactive systems, such as dialog systems, multimodal interfaces, and assistive technologies. An indispensable resource for students and researchers in computational linguistics, natural language processing, and related disciplines."
Download PDF
3. Natural Language Generation in Artificial Intelligence and Computational Linguistics
2013 by Cecile L. Paris, William R. Swartout, William C. Mann
"This book offers an extensive overview of the current landscape of natural language generation, encompassing both recent advancements and uncharted research avenues. The primary focus of natural language generation extends beyond mere computer facilitation, aiming to formulate a computational framework for understanding human language capabilities. In this pursuit, it serves as a valuable instrument for expanding, elucidating, and substantiating theories proposed in fields such as linguistics, psychology, and sociology concerning human communication. Natural language generation systems draw from a wealth of knowledge to select and present information to users, providing diverse ways of expression. This text frames text generation as a complex decision-making task influenced by numerous constraints: the content's propositional knowledge, available linguistic tools, communicative objectives, target audience, and contextual factors, including prior discourse. Researchers in this domain strive to pinpoint the key elements in this process and devise optimal representations for these elements and their interrelationships."
Download PDF
4. Natural Language Generation Systems
2012 by David D. McDonald, Leonard Bolc
"Natural language generation, a subset of artificial intelligence, envisions a future in which machines communicate intricate ideas with humans in a manner akin to natural conversation. These generation systems harness advanced knowledge of natural languages, surpassing approaches reliant solely on symbolic string manipulation techniques. This volume explores various subjects, including discourse theory, machine translation, intentional writing, and revision, shedding light on this dynamic field. 'Natural Language Generation Systems' boasts contributions from esteemed researchers, providing in-depth insights into grammatical methodologies and processing techniques, typically reserved for comprehensive monographs."
Download PDF
5. Building Natural Language Generation Systems
2000 by Ehud Reiter, Robert Dale
"This book serves as a comprehensive guide to the construction of Natural Language Generation (NLG) systems, sophisticated software applications that harness the power of artificial intelligence and computational linguistics to autonomously generate coherent textual content in human languages like English. NLG systems are capable of producing intelligible texts either independently or as part of various media, including documents, web pages, and speech output systems. Commencing with a foundation in non-linguistic data representation, these systems utilize knowledge about language and the relevant domain to automatically generate a diverse array of textual outputs, including documents, reports, explanations, help messages, and more. The book delves into the essential algorithms and data structures required to execute the core functions of document planning, microplanning, and surface realization. It also addresses practical considerations such as system architecture, requirements analysis, and the seamless integration of text generation into multimedia and speech output systems, all illustrated through a detailed case study."
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Stone Age Code: From Monkey Business to AI
2021 by Shane Neeley
In "Stone Age Code: From Monkey Business to AI," readers will explore the realms of deep learning with neural networks, natural language generation, and AI-driven art. Despite the seemingly technical nature of these subjects, Shane Neeley presents them in an engaging and approachable manner. This book dispels the misconception that mathematical prowess is a prerequisite for coding, as it contains neither equations nor actual code. Instead, it imparts a foundational understanding of machine learning concepts in a delightful and entertaining fashion. Whether you aspire to be a pioneer in AI for future generations or simply wish to dabble in creating amusing robots with a penchant for quirky statements, this book introduces you to the realms of computational creativity and humor, offering a fun playground for exploration.
Download PDF
2. Natural Language Generation in Interactive Systems
2014 by Amanda Stent, Srinivas Bangalore
"Offering an in-depth and informative overview of the current landscape of natural language generation (NLG) in interactive systems, this guide is tailored for graduate students and emerging researchers seeking an introduction to the realms of natural language processing and artificial intelligence, as well as sparking ideas for future exploration. Focusing on NLG techniques and challenges in interactive applications, the book delves into systems capable of modeling collaboration and handling uncertainty, facilitating incremental scalability, and effectively engaging users. Real-world case studies are featured alongside an extensive bibliography and references to valuable resources, including corpora, data, software, and more, to support research endeavors in NLG and interactive systems, such as dialog systems, multimodal interfaces, and assistive technologies. An indispensable resource for students and researchers in computational linguistics, natural language processing, and related disciplines."
Download PDF
3. Natural Language Generation in Artificial Intelligence and Computational Linguistics
2013 by Cecile L. Paris, William R. Swartout, William C. Mann
"This book offers an extensive overview of the current landscape of natural language generation, encompassing both recent advancements and uncharted research avenues. The primary focus of natural language generation extends beyond mere computer facilitation, aiming to formulate a computational framework for understanding human language capabilities. In this pursuit, it serves as a valuable instrument for expanding, elucidating, and substantiating theories proposed in fields such as linguistics, psychology, and sociology concerning human communication. Natural language generation systems draw from a wealth of knowledge to select and present information to users, providing diverse ways of expression. This text frames text generation as a complex decision-making task influenced by numerous constraints: the content's propositional knowledge, available linguistic tools, communicative objectives, target audience, and contextual factors, including prior discourse. Researchers in this domain strive to pinpoint the key elements in this process and devise optimal representations for these elements and their interrelationships."
Download PDF
4. Natural Language Generation Systems
2012 by David D. McDonald, Leonard Bolc
"Natural language generation, a subset of artificial intelligence, envisions a future in which machines communicate intricate ideas with humans in a manner akin to natural conversation. These generation systems harness advanced knowledge of natural languages, surpassing approaches reliant solely on symbolic string manipulation techniques. This volume explores various subjects, including discourse theory, machine translation, intentional writing, and revision, shedding light on this dynamic field. 'Natural Language Generation Systems' boasts contributions from esteemed researchers, providing in-depth insights into grammatical methodologies and processing techniques, typically reserved for comprehensive monographs."
Download PDF
5. Building Natural Language Generation Systems
2000 by Ehud Reiter, Robert Dale
"This book serves as a comprehensive guide to the construction of Natural Language Generation (NLG) systems, sophisticated software applications that harness the power of artificial intelligence and computational linguistics to autonomously generate coherent textual content in human languages like English. NLG systems are capable of producing intelligible texts either independently or as part of various media, including documents, web pages, and speech output systems. Commencing with a foundation in non-linguistic data representation, these systems utilize knowledge about language and the relevant domain to automatically generate a diverse array of textual outputs, including documents, reports, explanations, help messages, and more. The book delves into the essential algorithms and data structures required to execute the core functions of document planning, microplanning, and surface realization. It also addresses practical considerations such as system architecture, requirements analysis, and the seamless integration of text generation into multimedia and speech output systems, all illustrated through a detailed case study."
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
