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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Autors principals:	Liu, Zhiyuan, Lin, Yankai, Sun, Maosong
Format:	Online
Idioma:	anglès
Publicat:	Springer Nature 2021
Matèries:	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
Accés en línia:	ONIX_20200714_9789811555732_9
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Representation Learning for Natural Language Processing

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