Natural Language Generation
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New Concepts In Natural Language Generation
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Author : Helmut Horacek
language : en
Publisher: Bloomsbury Publishing
Release Date : 2015-12-17
New Concepts In Natural Language Generation written by Helmut Horacek and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-17 with Language Arts & Disciplines categories.
This book aims to inform researchers with an interest in natural language generation about advances in the field. It is organised around four topics – system architectures, content planning, discourse planning and realisation in linguistic form - and it presents some of the most important works in this area of research.
Natural Language Generation
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Author : G.A. Kempen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Natural Language Generation written by G.A. Kempen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Proceedings of the NATO Advanced Research Workshop, Nijmegen, The Netherlands, August 19-23, 1986
Natural Language Generation Systems
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Author : David D. McDonald
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Natural Language Generation Systems written by David D. McDonald and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Language Arts & Disciplines categories.
Natural language generation is a field within artificial intelligence which looks ahead to the future when machines will communicate complex thoughts to their human users in a natural way. Generation systems supply the sophisticated knowledge about natural languages that must come into play when one needs to use wordings that will overpower techniques based only on symbolic string manipulation techniques. Topics covered in this volume include discourse theory, mechanical translation, deliberate writing, and revision. Natural Language Generation Systems contains contributions by leading researchers in the field. Chapters contain details of grammatical treatments and processing seldom reported on outside of full length monographs.
Natural Language Generation
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Author : Gerard Blokdyk
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-11-11
Natural Language Generation written by Gerard Blokdyk and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-11 with categories.
Who will provide the final approval of Natural language generation deliverables? Why are Natural language generation skills important? Meeting the challenge: are missed Natural language generation opportunities costing us money? Who sets the Natural language generation standards? What tools do you use once you have decided on a Natural language generation strategy and more importantly how do you choose? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role... In EVERY company, organization and department. Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' For more than twenty years, The Art of Service's Self-Assessments empower people who can do just that - whether their title is marketer, entrepreneur, manager, salesperson, consultant, business process manager, executive assistant, IT Manager, CxO etc... - they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better. This book is for managers, advisors, consultants, specialists, professionals and anyone interested in Natural language generation assessment. All the tools you need to an in-depth Natural language generation Self-Assessment. Featuring 694 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Natural language generation improvements can be made. In using the questions you will be better able to: - diagnose Natural language generation projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Natural language generation and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Natural language generation Scorecard, you will develop a clear picture of which Natural language generation areas need attention. Included with your purchase of the book is the Natural language generation Self-Assessment downloadable resource, which contains all questions and Self-Assessment areas of this book in a ready to use Excel dashboard, including the self-assessment, graphic insights, and project planning automation - all with examples to get you started with the assessment right away. Access instructions can be found in the book. You are free to use the Self-Assessment contents in your presentations and materials for customers without asking us - we are here to help.
Natural Language Generation
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Author : Ehud Reiter
language : en
Publisher: Springer Nature
Release Date : 2024-10-15
Natural Language Generation written by Ehud Reiter and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Computers categories.
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 academics and researchers who are interested in applied NLG. The author, who previously co-authored a seminal NLG book in 2000, emphasizes high-level concepts and methodologies, ensuring the material's longevity and utility. The book is structured to balance technical depth with practical relevance, including chapters on rule-based and neural NLG approaches, user requirements, rigorous evaluation techniques, and safety considerations. Real-world applications, particularly in journalism, business intelligence, summarization, and medicine, are explored to illustrate NLG's potential and scalability. With personal anecdotes and examples from the author's experiences, this book provides a unique and engaging perspective on the evolving field of NLG, making it an indispensable guide for those looking to harness the power of language generation technologies.
Natural Language Generation
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Author : Gerardus Blokdyk
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-01-13
Natural Language Generation written by Gerardus Blokdyk and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-13 with categories.
Who will provide the final approval of Natural language generation deliverables? Why are Natural language generation skills important? Meeting the challenge: are missed Natural language generation opportunities costing us money? Who sets the Natural language generation standards? What tools do you use once you have decided on a Natural language generation strategy and more importantly how do you choose? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role... In EVERY company, organization and department. Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' For more than twenty years, The Art of Service's Self-Assessments empower people who can do just that - whether their title is marketer, entrepreneur, manager, salesperson, consultant, business process manager, executive assistant, IT Manager, CxO etc... - they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better. This book is for managers, advisors, consultants, specialists, professionals and anyone interested in Natural language generation assessment. All the tools you need to an in-depth Natural language generation Self-Assessment. Featuring 694 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Natural language generation improvements can be made. In using the questions you will be better able to: - diagnose Natural language generation projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Natural language generation and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Natural language generation Scorecard, you will develop a clear picture of which Natural language generation areas need attention. Included with your purchase of the book is the Natural language generation Self-Assessment downloadable resource, which contains all questions and Self-Assessment areas of this book in a ready to use Excel dashboard, including the self-assessment, graphic insights, and project planning automation - all with examples to get you started with the assessment right away. Access instructions can be found in the book. You are free to use the Self-Assessment contents in your presentations and materials for customers without asking us - we are here to help.
Building Natural Language Generation Systems
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Author : Ehud Reiter
language : en
Publisher: Cambridge University Press
Release Date : 2000-01-28
Building Natural Language Generation Systems written by Ehud Reiter and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01-28 with Computers categories.
This book explains how to build Natural Language Generation (NLG) systems - computer software systems which use techniques from artificial intelligence and computational linguistics to automatically generate understandable texts in English or other human languages, either in isolation or as part of multimedia documents, Web pages, and speech output systems. Typically starting from some non-linguistic representation of information as input, NLG systems use knowledge about language and the application domain to automatically produce documents, reports, explanations, help messages, and other kinds of texts. The book covers the algorithms and representations needed to perform the core tasks of document planning, microplanning, and surface realization, using a case study to show how these components fit together. It also discusses engineering issues such as system architecture, requirements analysis, and the integration of text generation into multimedia and speech output systems.
Natural Language Generation A Complete Guide
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Author : Gerardus Blokdyk
language : en
Publisher: 5starcooks
Release Date : 2018-04-05
Natural Language Generation A Complete Guide written by Gerardus Blokdyk and has been published by 5starcooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-05 with categories.
Is Natural language generation Required? How do you assess your Natural language generation workforce capability and capacity needs, including skills, competencies, and staffing levels? How do we manage Natural language generation Knowledge Management (KM)? What potential environmental factors impact the Natural language generation effort? How do we ensure that implementations of Natural language generation products are done in a way that ensures safety? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Natural language generation investments work better. This Natural language generation All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Natural language generation Self-Assessment. Featuring 694 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Natural language generation improvements can be made. In using the questions you will be better able to: - diagnose Natural language generation projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Natural language generation and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Natural language generation Scorecard, you will develop a clear picture of which Natural language generation areas need attention. Your purchase includes access details to the Natural language generation self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Empirical Methods In Natural Language Generation
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Author : Emiel Krahmer
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-09
Empirical Methods In Natural Language Generation written by Emiel Krahmer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-09 with Computers categories.
Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field has evolved substantially. Perhaps the most important new development is the current emphasis on data-oriented methods and empirical evaluation. Progress in related areas such as machine translation, dialogue system design and automatic text summarization and the resulting awareness of the importance of language generation, the increasing availability of suitable corpora in recent years, and the organization of shared tasks for NLG, where different teams of researchers develop and evaluate their algorithms on a shared, held out data set have had a considerable impact on the field, and this book offers the first comprehensive overview of recent empirically oriented NLG research.
Aspects Of Automated Natural Language Generation
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Author : Robert Dale
language : en
Publisher: Springer Science & Business Media
Release Date : 1992-03-25
Aspects Of Automated Natural Language Generation written by Robert Dale and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-03-25 with Computers categories.
This volume presents the proceedings of the Sixth International Workshop on Automated Natural Language Generation held in Castel Ivano, Trento, Italy, April 5-7, 1992. Besides an invited lecture by Nadia Magnenat-Thalmann, a well-known researcher in computer animation, on creating and visualizing speech and emotion, the volume includes the 17 thouroughly reviewed papers accepted for presentation, selected out of the submissions to the Workshop, as well as 11 statements contributed to panels on multilinguality and generation or extending language generation to multiple media. The accepted papers by leading researchers from Japan, North America and Europe fall in sections on generator system architecture, issues in realisation, issues in discourse structure, and beyond traditional generation.