| 書目名稱 | Cognitive Plausibility in Natural Language Processing |
| 編輯 | Lisa Beinborn,Nora Hollenstein |
| 視頻video | http://file.papertrans.cn/230/229077/229077.mp4 |
| 概述 | Provides a resource for students and researchers in natural language processing, machine learning, and cognitive science.Argues that model development targeted purely toward performance-driven evaluat |
| 叢書名稱 | Synthesis Lectures on Human Language Technologies |
| 圖書封面 |  |
| 描述 | This book explores the cognitive plausibility of computational language models and why it’s an important factor in their development and evaluation. The authors present the idea that more can be learned about cognitive plausibility of computational language models by linking signals of cognitive processing load in humans to interpretability methods that allow for exploration of the hidden mechanisms of neural models. The book identifies limitations when applying the existing methodology for representational analyses to contextualized settings and critiques the current emphasis on form over more grounded approaches to modeling language. The authors discuss how novel techniques for transfer and curriculum learning could lead to cognitively more plausible generalization capabilities in models. The book also highlights the importance of instance-level evaluation and includes thorough discussion of the ethical considerations that may arise throughout the various stages of cognitive plausibility research.? |
| 出版日期 | Book 2024 |
| 關(guān)鍵詞 | Cognitive Plausibility; Interpretability; Cognitive Signals; Language Models; Natural Language Processin |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-43260-6 |
| isbn_softcover | 978-3-031-43262-0 |
| isbn_ebook | 978-3-031-43260-6Series ISSN 1947-4040 Series E-ISSN 1947-4059 |
| issn_series | 1947-4040 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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