Neural Representations of Natural Language - Couverture souple

Livre 299 sur 538: Studies in Computational Intelligence

White, Lyndon ; Togneri, Roberto ; Liu, Wei ; Bennamoun, Mohammed

9789811343209: Neural Representations of Natural Language

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ISBN 10 : 9811343209 ISBN 13 : 9789811343209

Editeur : Springer, 2018

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Enriches readers' understanding of how neural networks create a machine interpretable representation of the meaning of natural language

Includes an introductory chapter on machine learning, allowing novice readers to quickly understand how it is revolutionizing the field of natural language processing

Highlights mature commercial and open-source implementations available, providing key tips for readers implementing the reviewed techniques themselves

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2018
Langue: anglais
ISBN 10: 9811343209
ISBN 13: 9789811343209
Reliure: Broch�
Nombre de pages: 136
Coordonn�es du fabricant: ProductSafety@springernature.com
ProductSafety@springernature.com

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Neural Representations of Natural Language

Lyndon White

Edit� par Springer Nature Singapore Dez 2018, 2018

ISBN 10 : 9811343209 ISBN 13 : 9789811343209

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers an introduction to modern natural language processing using machine learning, focusing on how neural networks create a machine interpretable representation of the meaning of natural language. Language is crucially linked to ideas - as Webster's 1923 'English Composition and Literature' puts it: 'A sentence is a group of words expressing a complete thought'. Thus the representation of sentences and the words that make them up is vital in advancing artificial intelligence and other 'smart' systems currently being developed. Providing an overview of the research in the area, from Bengio et al.'s seminal work on a 'Neural Probabilistic Language Model' in 2003, to the latest techniques, this book enables readers to gain an understanding of how the techniques are related and what is best for their purposes. As well as a introduction to neural networks in general and recurrent neural networks in particular,this book details the methods used for representing words, senses of words, and larger structures such as sentences or documents.The bookhighlights practical implementations and discusses many aspects that are often overlooked or misunderstood.The book includes thorough instruction on challenging areas such as hierarchicalsoftmax and negative sampling, to ensure the reader fully and easily understands the details of how the algorithms function.Combining practical aspects with a more traditional review of the literature, it is directly applicable to a broad readership.It is an invaluable introduction for early graduate students working in natural language processing; a trustworthy guide for industry developers wishing to make use of recent innovations; and a sturdy bridgefor researchers already familiar with linguistics or machine learning wishing to understand the other. 136 pp. Englisch. N� de r�f. du vendeur 9789811343209

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Neural Representations of Natural Language (Studies in Computational Intelligence)

White, Lyndon; Togneri, Roberto; Liu, Wei; Bennamoun, Mohammed

Edit� par Springer, 2018

ISBN 10 : 9811343209 ISBN 13 : 9789811343209

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Neural Representations of Natural Language

Lyndon White|Roberto Togneri|Wei Liu|Mohammed Bennamoun

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Neural Representations of Natural Language (Studies in Computational Intelligence)

White, Lyndon; Togneri, Roberto; Liu, Wei; Bennamoun, Mohammed

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Neural Representations of Natural Language (Studies in Computational Intelligence)

White, Lyndon; Togneri, Roberto; Liu, Wei; Bennamoun, Mohammed

Edit� par Springer, 2018

ISBN 10 : 9811343209 ISBN 13 : 9789811343209

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Neural Representations of Natural Language

Lyndon White

Edit� par Springer, Springer Nature Singapore Dez 2018, 2018

ISBN 10 : 9811343209 ISBN 13 : 9789811343209

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Enriches readers' understanding of how neural networks create a machine interpretable representation of the meaning of natural languageIncludes an introductory chapter on machine learning, allowing novice readers to quickly understand how it is revolutionizing the field of natural language processingHighlights mature commercial and open-source implementations available, providing key tips for readers implementing the reviewed techniques themselvesSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch. N� de r�f. du vendeur 9789811343209

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Neural Representations of Natural Language

Lyndon White (u. a.)

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Neural Representations of Natural Language

Lyndon White

Edit� par Springer, Springer Nature Singapore, 2018

ISBN 10 : 9811343209 ISBN 13 : 9789811343209

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers an introduction to modern natural language processing using machine learning, focusing on how neural networks create a machine interpretable representation of the meaning of natural language. Language is crucially linked to ideas - as Webster's 1923 'English Composition and Literature' puts it: 'A sentence is a group of words expressing a complete thought'. Thus the representation of sentences and the words that make them up is vital in advancing artificial intelligence and other 'smart' systems currently being developed. Providing an overview of the research in the area, from Bengio et al.'s seminal work on a 'Neural Probabilistic Language Model' in 2003, to the latest techniques, this book enables readers to gain an understanding of how the techniques are related and what is best for their purposes. As well as a introduction to neural networks in general and recurrent neural networks in particular,this book details the methods used for representing words, senses of words, and larger structures such as sentences or documents.The bookhighlights practical implementations and discusses many aspects that are often overlooked or misunderstood.The book includes thorough instruction on challenging areas such as hierarchicalsoftmax and negative sampling, to ensure the reader fully and easily understands the details of how the algorithms function.Combining practical aspects with a more traditional review of the literature, it is directly applicable to a broad readership.It is an invaluable introduction for early graduate students working in natural language processing; a trustworthy guide for industry developers wishing to make use of recent innovations; and a sturdy bridgefor researchers already familiar with linguistics or machine learning wishing to understand the other. N� de r�f. du vendeur 9789811343209

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