Deep Learning in Natural Language Processing (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	May 2018
First published:	2017
Editors:	Li Deng • Yang Liu
Dimensions:	235 x 155 x 27mm (L x W x T)
Format:	Hardcover
Pages:	329
Edition:	1st ed. 2018
ISBN-13:	978-981-10-5208-8
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
LSN:	981-10-5208-5
Barcode:	9789811052088

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