Deep Learning for Natural Language Processing 2022

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Deep Learning for Natural Language Processing 2022

Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results.

Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, NLP expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field.

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contents
PART 1 INTRODUCTION 1
1. Deep learning for NLP 3
2. Deep learning and language: The basics 31
3. Text embeddings 52
PART 2 DEEP NLP 87
4. Textual similarity 89
5. Sequential NLP 112
6. Episodic memory for NLP 140
PART 3 ADVANCED TOPICS 161
7. Attention 163
8. Multitask learning 190
9. Transformers 219
10. Applications of Transformers: Hands-on with BERT 243


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