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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Other Authors: | , , |
Format: | Electronic eBook |
Language: | English |
Published: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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Edition: | 2nd ed. 2023. |
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Online Access: | Link to Metadata |
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OAPEN Library: description of the publication
Representation Learning for Natural Language Processing
Published 2023
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Representation Learning for Natural Language Processing
Published 2023
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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
Published 2020
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DOAB: description of the publication
Representation Learning for Natural Language Processing
Published 2020
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