Explainable Natural Language Processing
Anders Søgaard
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Explainable Natural Language Processing
Anders Søgaard
Über dieses Buch
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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Inhaltsverzeichnis
- Cover
- Copyright Page
- Title Page
- Contents
- Acknowledgments
- Introduction
- A Framework for Explainable NLP
- Local-Backward Explanations
- Global-Backward Explanations
- Local-Forward Explanations of Intermediate Representations
- Global-Forward Explanations of Intermediate Representations
- Local-Forward Explanations of Continuous Output
- Global-Forward Explanations of Continuous Output
- Local-Forward Explanations of Discrete Output
- Global-Forward Explanations of Discrete Output
- Evaluating Explanations
- Perspectives
- Resources
- Bibliography
- Author's Biography