| 書目名稱 | Explainable Natural Language Processing |
| 編輯 | Anders S?gaard |
| 視頻video | http://file.papertrans.cn/320/319301/319301.mp4 |
| 叢書名稱 | Synthesis Lectures on Human Language Technologies |
| 圖書封面 |  |
| 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 |
|Archiver|手機版|小黑屋|
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