Deep Learning in Natural Language Processing / edited by Li Deng, Yang Liu.

Format:

Book

Contributor:

Deng, Li, editor.

Liu, Yang, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Artificial intelligence.

Natural language processing (Computer science).

Mathematical statistics.

Artificial Intelligence.

Natural Language Processing (NLP).

Probability and Statistics in Computer Science.

Local Subjects:

Artificial Intelligence.

Natural Language Processing (NLP).

Probability and Statistics in Computer Science.

Physical Description:

1 online resource (XVII, 329 pages)

Edition:

First edition 2018.

Contained In:

Springer eBooks

Place of Publication:

Singapore : Springer Singapore : Imprint: Springer, 2018.

System Details:

text file PDF

Summary:

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. .

Contents:

Chapter 1: A Joint Introduction to Natural Language Processing and to Deep Learning

Chapter 2: Deep Learning in Conversational Language Understanding

Chapter 3: Deep Learning in Spoken and Text-Based Dialogue Systems

Chapter 4: Deep Learning in Lexical Analysis and Parsing

Chapter 5: Deep Learning in Knowledge Graph

Chapter 6: Deep Learning in Machine Translation

Chapter 7: Deep Learning in Question Answering

Chapter 8: Deep Learning in Sentiment Analysis

Chapter 9: Deep Learning in Social Computing

Chapter 10: Deep Learning in Natural Language Generation from Images

11. Epilogue: Frontiers of NLP in the Deep Learning Era.

Other Format:

Printed edition:

ISBN:

978-981-10-5209-5

9789811052095

9789811052088

9789811052101

9789811338489

Access Restriction:

Restricted for use by site license.