Natural Language Generation in Artificial Intelligence and Computational Linguistics

Natural Language Generation in Artificial Intelligence and Computational Linguistics

Author: Cecile L. Paris

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 414

ISBN-13: 1475759452

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One of the aims of Natural Language Processing is to facilitate .the use of computers by allowing their users to communicate in natural language. There are two important aspects to person-machine communication: understanding and generating. While natural language understanding has been a major focus of research, natural language generation is a relatively new and increasingly active field of research. This book presents an overview of the state of the art in natural language generation, describing both new results and directions for new research. The principal emphasis of natural language generation is not only to facili tate the use of computers but also to develop a computational theory of human language ability. In doing so, it is a tool for extending, clarifying and verifying theories that have been put forth in linguistics, psychology and sociology about how people communicate. A natural language generator will typically have access to a large body of knowledge from which to select information to present to users as well as numer of expressing it. Generating a text can thus be seen as a problem of ous ways decision-making under multiple constraints: constraints from the propositional knowledge at hand, from the linguistic tools available, from the communicative goals and intentions to be achieved, from the audience the text is aimed at and from the situation and past discourse. Researchers in generation try to identify the factors involved in this process and determine how best to represent the factors and their dependencies.


Book Synopsis Natural Language Generation in Artificial Intelligence and Computational Linguistics by : Cecile L. Paris

Download or read book Natural Language Generation in Artificial Intelligence and Computational Linguistics written by Cecile L. Paris and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the aims of Natural Language Processing is to facilitate .the use of computers by allowing their users to communicate in natural language. There are two important aspects to person-machine communication: understanding and generating. While natural language understanding has been a major focus of research, natural language generation is a relatively new and increasingly active field of research. This book presents an overview of the state of the art in natural language generation, describing both new results and directions for new research. The principal emphasis of natural language generation is not only to facili tate the use of computers but also to develop a computational theory of human language ability. In doing so, it is a tool for extending, clarifying and verifying theories that have been put forth in linguistics, psychology and sociology about how people communicate. A natural language generator will typically have access to a large body of knowledge from which to select information to present to users as well as numer of expressing it. Generating a text can thus be seen as a problem of ous ways decision-making under multiple constraints: constraints from the propositional knowledge at hand, from the linguistic tools available, from the communicative goals and intentions to be achieved, from the audience the text is aimed at and from the situation and past discourse. Researchers in generation try to identify the factors involved in this process and determine how best to represent the factors and their dependencies.


Natural Language Generation

Natural Language Generation

Author: G.A. Kempen

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 460

ISBN-13: 9400936451

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Proceedings of the NATO Advanced Research Workshop, Nijmegen, The Netherlands, August 19-23, 1986


Book Synopsis Natural Language Generation by : G.A. Kempen

Download or read book Natural Language Generation written by G.A. Kempen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the NATO Advanced Research Workshop, Nijmegen, The Netherlands, August 19-23, 1986


Building Natural Language Generation Systems

Building Natural Language Generation Systems

Author: Ehud Reiter

Publisher: Cambridge University Press

Published: 2000-01-28

Total Pages: 274

ISBN-13: 0521620368

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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.


Book Synopsis Building Natural Language Generation Systems by : Ehud Reiter

Download or read book Building Natural Language Generation Systems written by Ehud Reiter and published by Cambridge University Press. This book was released on 2000-01-28 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 in Interactive Systems

Natural Language Generation in Interactive Systems

Author: Amanda Stent

Publisher: Cambridge University Press

Published: 2014-06-12

Total Pages: 383

ISBN-13: 1107010020

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A comprehensive overview of the state-of-the-art in natural language generation for interactive systems, with links to resources for further research.


Book Synopsis Natural Language Generation in Interactive Systems by : Amanda Stent

Download or read book Natural Language Generation in Interactive Systems written by Amanda Stent and published by Cambridge University Press. This book was released on 2014-06-12 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive overview of the state-of-the-art in natural language generation for interactive systems, with links to resources for further research.


New Concepts in Natural Language Generation

New Concepts in Natural Language Generation

Author: Helmut Horacek

Publisher: Bloomsbury Publishing

Published: 2015-12-17

Total Pages: 336

ISBN-13: 1474246427

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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.


Book Synopsis New Concepts in Natural Language Generation by : Helmut Horacek

Download or read book New Concepts in Natural Language Generation written by Helmut Horacek and published by Bloomsbury Publishing. This book was released on 2015-12-17 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Empirical Methods in Natural Language Generation

Empirical Methods in Natural Language Generation

Author: Emiel Krahmer

Publisher: Springer Science & Business Media

Published: 2010-09-09

Total Pages: 363

ISBN-13: 3642155723

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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.


Book Synopsis Empirical Methods in Natural Language Generation by : Emiel Krahmer

Download or read book Empirical Methods in Natural Language Generation written by Emiel Krahmer and published by Springer Science & Business Media. This book was released on 2010-09-09 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Handbook of Natural Language Processing

Handbook of Natural Language Processing

Author: Robert Dale

Publisher: CRC Press

Published: 2000-07-25

Total Pages: 974

ISBN-13: 9780824790004

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This study explores the design and application of natural language text-based processing systems, based on generative linguistics, empirical copus analysis, and artificial neural networks. It emphasizes the practical tools to accommodate the selected system.


Book Synopsis Handbook of Natural Language Processing by : Robert Dale

Download or read book Handbook of Natural Language Processing written by Robert Dale and published by CRC Press. This book was released on 2000-07-25 with total page 974 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study explores the design and application of natural language text-based processing systems, based on generative linguistics, empirical copus analysis, and artificial neural networks. It emphasizes the practical tools to accommodate the selected system.


Deep Learning in Natural Language Processing

Deep Learning in Natural Language Processing

Author: Li Deng

Publisher: Springer

Published: 2018-05-23

Total Pages: 329

ISBN-13: 9811052093

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In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.


Book Synopsis Deep Learning in Natural Language Processing by : Li Deng

Download or read book Deep Learning in Natural Language Processing written by Li Deng and published by Springer. This book was released on 2018-05-23 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.


New Methods In Language Processing

New Methods In Language Processing

Author: D. B. Jones

Publisher: Routledge

Published: 2013-11-05

Total Pages: 385

ISBN-13: 1134227388

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Studies in Computational Linguistics presents authoritative texts from an international team of leading computational linguists. The books range from the senior undergraduate textbook to the research level monograph and provide a showcase for a broad range of recent developments in the field. The series should be interesting reading for researchers and students alike involved at this interface of linguistics and computing.


Book Synopsis New Methods In Language Processing by : D. B. Jones

Download or read book New Methods In Language Processing written by D. B. Jones and published by Routledge. This book was released on 2013-11-05 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studies in Computational Linguistics presents authoritative texts from an international team of leading computational linguists. The books range from the senior undergraduate textbook to the research level monograph and provide a showcase for a broad range of recent developments in the field. The series should be interesting reading for researchers and students alike involved at this interface of linguistics and computing.


Natural Language Generation Systems

Natural Language Generation Systems

Author: David D. McDonald

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 401

ISBN-13: 1461238463

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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.


Book Synopsis Natural Language Generation Systems by : David D. McDonald

Download or read book Natural Language Generation Systems written by David D. McDonald and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.