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Natural Language Processing with Flair

You're reading from   Natural Language Processing with Flair A practical guide to understanding and solving NLP problems with Flair

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801072311
Length 200 pages
Edition 1st Edition
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Author (1):
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Tadej Magajna Tadej Magajna
Author Profile Icon Tadej Magajna
Tadej Magajna
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Table of Contents (15) Chapters Close

Preface 1. Part 1: Understanding and Solving NLP with Flair
2. Chapter 1: Introduction to Flair FREE CHAPTER 3. Chapter 2: Flair Base Types 4. Chapter 3: Embeddings in Flair 5. Chapter 4: Sequence Tagging 6. Part 2: Deep Dive into Flair – Training Custom Models
7. Chapter 5: Training Sequence Labeling Models 8. Chapter 6: Hyperparameter Optimization in Flair 9. Chapter 7: Train Your Own Embeddings 10. Chapter 8: Text Classification in Flair 11. Part 3: Real-World Applications with Flair
12. Chapter 9: Deploying and Using Models in Production 13. Chapter 10: Hands-On Exercise – Building a Trading Bot with Flair 14. Other Books You May Enjoy

The motivation behind training custom models

In this book we so far discussed the features and models that are available in Flair straight out of the box. However, if you work with NLP long enough, you will likely encounter a sequence labeling problem that is complex or specific enough that there will be no pre-trained models available out there. This can happen in either of the following situations:

  • The problem you are solving is domain-specific: Sequence taggers such as Named Entity Recognition (NER) or Part-of-Speech (PoS) taggers are usually trained on large, generic corpora that are supposed to represent the general use of a language. But if our problem is domain-specific, it's likely that we will require a custom tagger with domain-specific labels trained on domain-specific corpora.
  • A pre-trained model exists but doesn't perform well enough: Every model made available in Flair and the approaches used for training are usually reviewed by other contributors...
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