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Author: G.A. Kempen
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 460
ISBN-13: 9400936451
DOWNLOAD EBOOK →Proceedings of the NATO Advanced Research Workshop, Nijmegen, The Netherlands, August 19-23, 1986
Author: Cecile L. Paris
Publisher: Springer Science & Business Media
Published: 2013-03-14
Total Pages: 414
ISBN-13: 1475759452
DOWNLOAD EBOOK →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.
Author: Ehud Reiter
Publisher: Cambridge University Press
Published: 2000-01-28
Total Pages: 274
ISBN-13: 0521620368
DOWNLOAD EBOOK →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.
Author: Amanda Stent
Publisher: Cambridge University Press
Published: 2014-06-12
Total Pages: 383
ISBN-13: 1107010020
DOWNLOAD EBOOK →A comprehensive overview of the state-of-the-art in natural language generation for interactive systems, with links to resources for further research.
Author: Helmut Horacek
Publisher: Bloomsbury Publishing
Published: 2015-12-17
Total Pages: 336
ISBN-13: 1474246427
DOWNLOAD EBOOK →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.
Author: Emiel Krahmer
Publisher: Springer Science & Business Media
Published: 2010-09-09
Total Pages: 363
ISBN-13: 3642155723
DOWNLOAD EBOOK →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.
Author: David D. McDonald
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 401
ISBN-13: 1461238463
DOWNLOAD EBOOK →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.
Author: Li Deng
Publisher: Springer
Published: 2018-05-23
Total Pages: 329
ISBN-13: 9811052093
DOWNLOAD EBOOK →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.
Author: D. B. Jones
Publisher: Routledge
Published: 2013-11-05
Total Pages: 385
ISBN-13: 1134227388
DOWNLOAD EBOOK →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.
Author: Yue Zhang
Publisher: Cambridge University Press
Published: 2021-01-07
Total Pages: 487
ISBN-13: 1108420214
DOWNLOAD EBOOK →This undergraduate textbook introduces essential machine learning concepts in NLP in a unified and gentle mathematical framework.
