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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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Guardado en:
Autores principales: Liu, Zhiyuan, Lin, Yankai, Sun, Maosong
Formato: Online
Lenguaje:inglés
Publicado: Springer Nature 2021
Materias:
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
Acceso en línea:ONIX_20200714_9789811555732_9
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