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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Главный автор:	Liu, Zhiyuan (auth)
Другие авторы:	Lin, Yankai (auth), Sun, Maosong (auth)
Формат:	Электронный ресурс Глава книги
Язык:	английский
Опубликовано:	Springer Nature 2020
Предметы:	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-ссылка:	DOAB: download the publication DOAB: description of the publication
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Representation Learning for Natural Language Processing

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