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...
| Format: | eBook |
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| Language: | English |
| Published: |
Singapore
Springer Nature
2023
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| Subjects: | |
| Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |