| 书目名称 | Explainable Natural Language Processing |
| 编辑 | Anders Søgaard |
| 视频video | |
| 丛书名称 | Synthesis Lectures on Human Language Technologies |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2021 |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-02180-0 |
| isbn_softcover | 978-3-031-01052-1 |
| isbn_ebook | 978-3-031-02180-0Series ISSN 1947-4040 Series E-ISSN 1947-4059 |
| issn_series | 1947-4040 |
| copyright | Springer Nature Switzerland AG 2021 |
发表于 2025-3-21 18:26:12
