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Titlebook: Explainable Natural Language Processing; Anders S?gaard Book 2021 Springer Nature Switzerland AG 2021

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樓主: MIFF
21#
發(fā)表于 2025-3-25 05:06:33 | 只看該作者
Behavioral Pharmacology of Caffeine away from the models themselves. The same holds for the metrics we use to evaluate explanations. The metrics are, in other words, orthogonal to the taxonomy presented here. In this chapter, we therefore introduce a classification of explanations (not methods), distinguishing, for example, explanati
22#
發(fā)表于 2025-3-25 09:34:11 | 只看該作者
23#
發(fā)表于 2025-3-25 14:23:20 | 只看該作者
978-3-031-01052-1Springer Nature Switzerland AG 2021
24#
發(fā)表于 2025-3-25 17:29:18 | 只看該作者
Explainable Natural Language Processing978-3-031-02180-0Series ISSN 1947-4040 Series E-ISSN 1947-4059
25#
發(fā)表于 2025-3-25 21:36:58 | 只看該作者
B. A. Tashmukhamedov,A. I. Gagel’ganshesis classes from which h(?) will be induced. Once we have been reminded about these standard architectures, we are in a position to introduce a simple, yet incredibly useful, framework for thinking about interpretability methods.
26#
發(fā)表于 2025-3-26 04:10:20 | 只看該作者
27#
發(fā)表于 2025-3-26 05:48:59 | 只看該作者
A Framework for Explainable NLP,hesis classes from which h(?) will be induced. Once we have been reminded about these standard architectures, we are in a position to introduce a simple, yet incredibly useful, framework for thinking about interpretability methods.
28#
發(fā)表于 2025-3-26 11:00:19 | 只看該作者
Global-Backward Explanations,questioned whether this correlation holds in general (Freitas, 2013), and it is important to remember that weight pruning strategies are often motivated by other concerns, including making inference faster, and storage and memory requirements smaller (Kim and Hassan, 2020).
29#
發(fā)表于 2025-3-26 15:52:44 | 只看該作者
30#
發(fā)表于 2025-3-26 19:33:07 | 只看該作者
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