Python for Natural Language Processing Programming with NumPy, scikit-learn, Keras, and PyTorch /
Since the last edition of this book (2014), progress has been astonishing in all areas of Natural Language Processing, with recent achievements in Text Generation that spurred a media interest going beyond the traditional academic circles. Text Processing has meanwhile become a mainstream industrial...
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| Formato: | Electrónico eBook |
| Idioma: | inglés |
| Publicado: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Edición: | 3rd ed. 2024. |
| Series: | Cognitive Technologies,
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| Subjects: | |
| Acceso en liña: | https://doi.org/10.1007/978-3-031-57549-5 |
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Table of Contents:
- Preface to the third edition
- Preface to the second edition
- Preface to the first edition
- 1. An Overview of Language Processing
- 2. A Tour of Python
- 3. Corpus Processing Tools
- 4. Encoding and Annotation Scheme
- 5. Python for Numerical Computations
- 6. Topics in Information Theory and Machine Learning
- 7. Linear and Logistic Regression
- 8. Neural Networks
- 9. Counting and Indexing Words
- 10. Dense Vector Representations
- 11. Word Sequences
- 12. Words, Parts of Speech, and Morphology
- 13. Subword Segmentation
- 14. Part-of-Speech and Sequence Annotation
- 15. Self-Attention and Transformers
- 16. Pretraining an Encoder: The BERT Language Model
- 17. Sequence-to-Sequence Architectures: Encoder-Decoders and Decoders
- Index
- References.