Representation Learning for Natural Language Processing


Representation Learning for Natural Language Processing
Authors: Zhiyuan Liu
Year: 2020
Publisher: Springer Singapore;Springer
Language: English
ISBN 13: 9789811555732
ISBN 10: 9811555737
Categories: Computers, Artificial Intelligence (AI)
Pages: 320 / 319
Edition: 1st ed.

Availability: 5000 in stock

SKU: 9789811555732 Categories: ,

Representation Learning for Natural Language Processing Zhiyuan Liu, Yankai Lin, Maosong Sun
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing. Categories:
Computers – Artificial Intelligence (AI)
1st ed.
Springer Singapore;Springer
ISBN 10:
ISBN 13:
00 MB


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Representation Learning for Natural Language Processing

Availability: 5000 in stock