Explainable natural language processing / Anders Søgaard.

Format:

Book

Author/Creator:

Søgaard, Anders, author.

Language:

English

Subjects (All):

Natural language processing (Computer science).

Natural Language Processing.

Physical Description:

1 online resource (114 pages) : illustrations

Place of Publication:

Springer Nature 2022

Summary:

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.

Contents:

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 Author's Biography

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

9783031021800

3031021800