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Neural representations of natural language

Author: Lyndon White; Roberto Togneri; Wei Liu; M Bennamoun
Publisher: Singapore : Springer, [2019].
Series: Studies in computational intelligence, v. 783.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Lyndon White; Roberto Togneri; Wei Liu; M Bennamoun
ISBN: 9789811300622 9811300623
OCLC Number: 1050994822
Description: 1 online resource (xiv, 122 pages) : illustrations (some color).
Contents: Introduction.- Machine Learning for Representations.- Current Challenges in Natural Language Processing.- Word Representations.- Word Sense Representations.- Phrase Representations.- Sentence representations and beyond.- Character-Based Representations.- Conclusion.
Series Title: Studies in computational intelligence, v. 783.
Responsibility: Lyndon White, Roberto Togneri, Wei Liu, Mohammed Bennamoun.

Abstract:

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  Read more...

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