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.
| ISBN | 9789819915996 |
| Publisher | Springer |
| Item Length | 9.3 in |
| Publication Year | 2023 |
| Type | Textbook |
| Format | Hardcover |
| Language | English |
| Author | Yankai Lin |
| Item Weight | 34.4 Oz |
| Item Width | 6.1 in |
| Number Of Pages | Xx, 521 Pages |
A nice touch in this textbook is the appendix with useful formulas and tables.
