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Representation Learning for Natural Language Processing

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Representation Learning for Natural Language Processing - Liu, Zhiyuan (Editor), and Lin, Yankai (Editor), and Sun, Maosong (Editor)
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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 techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including graphs, cross-modal entries, and ...

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Representation Learning for Natural Language Processing 2023, Springer Verlag, Singapore, Singapore

ISBN-13: 9789819915996

2nd edition 2023

Hardcover

Representation Learning for Natural Language Processing 2023, Springer Verlag, Singapore, Singapore

ISBN-13: 9789819916023

2nd edition 2023

Paperback

Representation Learning for Natural Language Processing 2020, Springer, Singapore

ISBN-13: 9789811555725

2020 edition

Hardcover

Representation Learning for Natural Language Processing 2020, Springer, Singapore

ISBN-13: 9789811555756

2020 edition

Trade paperback