Explainable Natural Language Processing

di Anders Søgaard (Autore)

Springer International Publishing AG, 2021

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.

• Autore: Anders Søgaard
• Editore: Springer International Publishing AG
• Collana: Synthesis Lectures on Human Language Technologies
• Anno: 2021
• Rilegatura: Paperback / softback
• Pagine: 107 p.
• Dimensioni: 235 x 191 mm
• EAN: 9783031010521

Testo in English