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Deep Learning in Natural Language Processing

  • Li Deng
  • Yang Liu

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Gokhan Tur, Asli Celikyilmaz, Xiaodong He, Dilek Hakkani-Tür, Li Deng
    Pages 23-48
  3. Asli Celikyilmaz, Li Deng, Dilek Hakkani-Tür
    Pages 49-78
  4. Wanxiang Che, Yue Zhang
    Pages 79-116
  5. Zhiyuan Liu, Xianpei Han
    Pages 117-145
  6. Yang Liu, Jiajun Zhang
    Pages 147-183
  7. Kang Liu, Yansong Feng
    Pages 185-217
  8. Duyu Tang, Meishan Zhang
    Pages 219-253
  9. Xin Zhao, Chenliang Li
    Pages 255-288
  10. Li Deng, Yang Liu
    Pages 309-326
  11. Back Matter
    Pages 327-329

About this book

Introduction

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. 

Keywords

Deep Learning Natural Language Processing Recurrent Neural Networks Speech Language Understanding Dialogue Systems Parsing Machine Translation Knowledge Graph Question Answering Sentiment Analysis Social Computing Natural Language Generation Image Captioning Neural Embedding Sequence-to-Sequence Attention Models

Editors and affiliations

  • Li Deng
    • 1
  • Yang Liu
    • 2
  1. 1.AI Research at Citadel ChicagoUSA
  2. 2.Tsinghua University BeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-5209-5
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-10-5208-8
  • Online ISBN 978-981-10-5209-5
  • Buy this book on publisher's site
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