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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Format: | Electronic Book Chapter |
Language: | English |
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Singapore
Springer Nature
2023
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Online Access: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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DOAB: description of the publication
Representation Learning for Natural Language Processing
Published 2023
DOAB: download the publication
DOAB: description of the publication
Electronic
Book Chapter
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DOAB: description of the publication
Representation Learning for Natural Language Processing
Published 2020
DOAB: download the publication
DOAB: description of the publication
Electronic
Book Chapter
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OAPEN Library: description of the publication
Representation Learning for Natural Language Processing
Published 2020
OAPEN Library: download the publication
OAPEN Library: description of the publication
Electronic
Book Chapter