Neural Representations of Natural Language
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 Web
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Lyndon White · Roberto Togneri Wei Liu · Mohammed Bennamoun
Neural Representations of Natural Language
Studies in Computational Intelligence Volume 783 Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]
The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.
More information about this series at http://www.springer.com/series/7092
Lyndon White • Roberto Togneri Wei Liu • Mohammed Bennamoun
Neural Representations of Natural Language
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Lyndon White Department of Electrical, Electronic and Computer Engineering, School of Engineering, Faculty of Engineering and Mathematical Sciences The University of Western Australia Perth, WA, Australia
Wei Liu Department of Computer Science and Software Engineering, School of Physics, Mathematics and Computing, Faculty of Engineering and Mathematical Sciences The University of Western Australia Perth, WA, Australia
Roberto Togneri Department of Electrical, Electronic and Computer Engineering, School of Engineering, Faculty of Engineering and Mathematical Sciences The University of Western Australia Perth, WA, Australia
Mohammed Bennamoun Department of Computer Science and Software Engineering, School of Physics, Mathematics and Computing, Faculty of Engineering and Mathematical Sciences The University of Western Australia Perth, WA, Australia
ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN 978-981-13-0061-5 ISBN 978-981-13-0062-2 (eBook) https://doi.org/10.1007/978-981-13-0062-2 Library of Congress Control Number: 2018938363 © Springer Nature Singapore Pte Ltd. 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc.
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