Explainable Natural Language Processing
eBook - PDF

Explainable Natural Language Processing

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Explainable Natural Language Processing

About this book

This book presents a taxonomy framework and survey of methods relevant to explaining the decisions and analyzing the inner workings of Natural Language Processing (NLP) models. The book is intended to provide a snapshot of Explainable NLP, though the field continues to rapidly grow. The book is intended to be both readable by first-year M.Sc. students and interesting to an expert audience. The book opens by motivating a focus on providing a consistent taxonomy, pointing out inconsistencies and redundancies in previous taxonomies. It goes on to present (i) a taxonomy or framework for thinking about how approaches to explainable NLP relate to one another; (ii) brief surveys of each of the classes in the taxonomy, with a focus on methods that are relevant for NLP; and (iii) a discussion of the inherent limitations of some classes of methods, as well as how to best evaluate them. Finally, the book closes by providing a list of resources for further research on explainability.

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Yes, you can access Explainable Natural Language Processing by Anders Søgaard in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Copyright Page
  3. Title Page
  4. Contents
  5. Acknowledgments
  6. Introduction
  7. A Framework for Explainable NLP
  8. Local-Backward Explanations
  9. Global-Backward Explanations
  10. Local-Forward Explanations of Intermediate Representations
  11. Global-Forward Explanations of Intermediate Representations
  12. Local-Forward Explanations of Continuous Output
  13. Global-Forward Explanations of Continuous Output
  14. Local-Forward Explanations of Discrete Output
  15. Global-Forward Explanations of Discrete Output
  16. Evaluating Explanations
  17. Perspectives
  18. Resources
  19. Bibliography
  20. Author's Biography