Representation Learning for Natural Language Processing
This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniq...
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Andere auteurs: | , , |
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Formaat: | Elektronisch Hoofdstuk |
Taal: | Engels |
Gepubliceerd in: |
Singapore
Springer Nature
2023
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Online toegang: | DOAB: download the publication DOAB: description of the publication |
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Representation Learning for Natural Language Processing
Gepubliceerd in 2023
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Hoofdstuk
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Representation Learning for Natural Language Processing
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Representation Learning for Natural Language Processing
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OAPEN Library: description of the publication
Representation Learning for Natural Language Processing
Gepubliceerd in 2020
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Elektronisch
Hoofdstuk
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DOAB: description of the publication
Representation Learning for Natural Language Processing
Gepubliceerd in 2020
DOAB: download the publication
DOAB: description of the publication
Elektronisch
Hoofdstuk