Explainable Natural Language Processing

Explainable Natural Language Processing
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Explainable Natural Language Processing

by Anders Søgaard

  • Length: 118 pages
  • Edition: 1
  • Language: English
  • Publisher: Morgan & Claypool
  • Publication Date: 2021-09-22
  • ISBN-10: 163639213X
  • ISBN-13: 9781636392134
  • Sales Rank: #0 (See Top 100 Books)

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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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