9789811052088-9811052085-Deep Learning in Natural Language Processing

Deep Learning in Natural Language Processing

ISBN-13: 9789811052088
ISBN-10: 9811052085
Edition: 1st ed. 2018
Author: Li Deng
Publication date: 2018
Publisher: Springer
Format: Hardcover 346 pages
FREE shipping on ALL orders

Book details

ISBN-13: 9789811052088
ISBN-10: 9811052085
Edition: 1st ed. 2018
Author: Li Deng
Publication date: 2018
Publisher: Springer
Format: Hardcover 346 pages

Summary

Acknowledged author Li Deng wrote Deep Learning in Natural Language Processing comprising 346 pages back in 2018. Textbook and eTextbook are published under ISBN 9811052085 and 9789811052088. Since then Deep Learning in Natural Language Processing textbook was available to sell back to BooksRun online for the top buyback price of $ 2.00 or rent at the marketplace.

Description

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.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book