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Representation Learning for Natural Language Processing

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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...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Kaituhi matua: Liu, Zhiyuan (auth)
Ētahi atu kaituhi: Lin, Yankai (auth), Sun, Maosong (auth)
Hōputu: Tāhiko Wāhanga pukapuka
Reo:Ingarihi
I whakaputaina: Springer Nature 2020
Ngā marau:
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
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OAPEN Library: download the publication
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Tau karanga: A1234.567
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