Explainable natural language processing
著者
書誌事項
Explainable natural language processing
（Synthesis lectures on human language technologies, 51）（Synthesis collection of technology）
Springer, c2022
- : pbk.
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注記
Reprint. Originally published by Morgan & Claypool, c2021
Includes bibliographical references (p. 75-105) and index
内容説明・目次
内容説明
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.
目次
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 .
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