Deep Learning in Natural Language Processing

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

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Deep Learning in Natural Language Processing

Deep Learning in Natural Language Processing

Li Deng Yang Liu •

Editors

Deep Learning in Natural Language Processing

123

Editors Li Deng AI Research at Citadel Chicago, IL USA

Yang Liu Tsinghua University Beijing China

and AI Research at Citadel Seattle, WA USA

ISBN 978-981-10-5208-8 ISBN 978-981-10-5209-5 https://doi.org/10.1007/978-981-10-5209-5

(eBook)

Library of Congress Control Number: 2018934459 © Springer Nature Singapore Pte Ltd. 2018 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. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. part of Springer Nature The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore

Foreword

“Written by a group of the most active researchers in the field, led by Dr. Deng, an internationally respected expert in both NLP and deep learning, this book provides a comprehensive introduction to and up-to-date review of the state of art in applying deep learning to solve fundamental problems in NLP. Further, the book is highly timely, as demands for high-quality and up-to-date textbooks and research references have risen dramatically in response to the tremendous strides in deep learning applications to NLP. The book offers a unique reference guide for practitioners in various sectors, especially the Internet and AI start-ups, where NLP technologies are becoming an essential enabler and a core differentiator.” Hongjiang Zhang (Founder, Sourcecode Capital; former CEO of KingSoft) “This book provides a comprehensive introduction to the latest advances in deep learning applied to NLP. Written by experienced and aspiring deep learning and NLP researchers, it covers a broad range of major NLP applications, including spoken language understanding, dialog systems, lex