Deep Learning in Natural Language Processing

Deep Learning in Natural Language Processing

Deep Learning in Natural Language Processing

ISBN-10 书号: 9811052085
ISBN-13 书号: 9789811052088
Edition 版本: 1st ed. 2018
Release Finelybook 出版日期: 2018-05-24
pages 页数: 329

$129

Cover

Frontmatter

1.A Joint Introduction to Natural Language Processing and to Deep Learning

2.Deep Learning in Conversational Language Understanding

3.Deep Learning in Spoken and Text-Based Dialog Systems

4.Deep Learning in Lexical Analysis and Parsing

5.Deep Learning in Knowledge Graph

6.Deep Learning in Machine Translation

7.Deep Learning in Question Answering

8.Deep Learning in Sentiment Analysis

9.Deep Learning in Social Computing

10.Deep Learning in Natural Language Generation from lmages

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

Backmatter

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.


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