Representation Learning for Natural Language Processing

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 word...

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Bibliographic Details
Main Author:	Liu, Zhiyuan (auth)
Other Authors:	Lin, Yankai (auth), Sun, Maosong (auth)
Format:	Electronic Book Chapter
Language:	English
Published:	Springer Nature 2020
Subjects:	Natural language & machine translation Computational linguistics Artificial intelligence Data mining Natural Language Processing (NLP) Computational Linguistics Artificial Intelligence Data Mining and Knowledge Discovery Open Access Deep Learning Representation Learning Knowledge Representation Word Representation Document Representation Big Data Machine Learning Natural Language Processing Expert systems / knowledge-based systems
Online Access:	DOAB: download the publication DOAB: description of the publication
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