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Getting Started with Google BERT

You're reading from   Getting Started with Google BERT Build and train state-of-the-art natural language processing models using BERT

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Product type Paperback
Published in Jan 2021
Publisher Packt
ISBN-13 9781838821593
Length 352 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Sudharsan Ravichandiran Sudharsan Ravichandiran
Author Profile Icon Sudharsan Ravichandiran
Sudharsan Ravichandiran
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1 - Starting Off with BERT
2. A Primer on Transformers FREE CHAPTER 3. Understanding the BERT Model 4. Getting Hands-On with BERT 5. Section 2 - Exploring BERT Variants
6. BERT Variants I - ALBERT, RoBERTa, ELECTRA, and SpanBERT 7. BERT Variants II - Based on Knowledge Distillation 8. Section 3 - Applications of BERT
9. Exploring BERTSUM for Text Summarization 10. Applying BERT to Other Languages 11. Exploring Sentence and Domain-Specific BERT 12. Working with VideoBERT, BART, and More 13. Assessments 14. Other Books You May Enjoy
Section 3 - Applications of BERT

In this section, we will look into several interesting applications of BERT. We will learn how to fine-tune BERT for text summarization tasks using BERTSUM. Then, we will explore how to apply BERT for languages other than English. We will also learn about VideoBERT and other interesting models.

The following chapters are included in this section:

  • Chapter 6, Exploring BERTSUM for Text Summarization
  • Chapter 7, Applying BERT to Other Languages
  • Chapter 8, Exploring Sentence and Domain–Specific BERT
  • Chapter 9, Working with VideoBERT, BART, and More
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