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: | , , |
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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Singapore
Springer Nature
2023
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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