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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Автори:	Liu, Zhiyuan, Lin, Yankai, Sun, Maosong
Формат:	Online
Мова:	Англійська
Опубліковано:	Springer Nature 2021
Предмети:	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 Natural language & machine translation Computational linguistics Artificial intelligence Data mining Expert systems / knowledge-based systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation thema EDItEUR::C Language and Linguistics::CF Linguistics::CFX Computational and corpus linguistics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
Онлайн доступ:	ONIX_20200714_9789811555732_9
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Representation Learning for Natural Language Processing

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