標(biāo)題: Titlebook: Explainable Natural Language Processing; Anders S?gaard Book 2021 Springer Nature Switzerland AG 2021 [打印本頁] 作者: MIFF 時間: 2025-3-21 18:26
書目名稱Explainable Natural Language Processing影響因子(影響力)
書目名稱Explainable Natural Language Processing影響因子(影響力)學(xué)科排名
書目名稱Explainable Natural Language Processing網(wǎng)絡(luò)公開度
書目名稱Explainable Natural Language Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Explainable Natural Language Processing被引頻次
書目名稱Explainable Natural Language Processing被引頻次學(xué)科排名
書目名稱Explainable Natural Language Processing年度引用
書目名稱Explainable Natural Language Processing年度引用學(xué)科排名
書目名稱Explainable Natural Language Processing讀者反饋
書目名稱Explainable Natural Language Processing讀者反饋學(xué)科排名
作者: 泥沼 時間: 2025-3-21 20:46
Stochastic Lot Sizing Problems,to address which gates and attention heads are discriminative, and which are redundant and dispensable: examples would include sentences such as . or . The extent to which gates or attention heads can be removed, tells us a lot about the inner workings of a neural network.作者: HUSH 時間: 2025-3-22 01:20
https://doi.org/10.1007/978-3-031-12737-3 can also be interpreted. If we consider . such clouds, we can quantify the extent to which they are structurally similar, for example. Or we can learn clusters of vectors and analyze the clusters manually, or use these to compute functions that enable us to extract influential data points for our test examples.作者: 思想靈活 時間: 2025-3-22 06:02 作者: 加入 時間: 2025-3-22 09:28 作者: intention 時間: 2025-3-22 16:09 作者: intention 時間: 2025-3-22 18:01 作者: 人類 時間: 2025-3-22 21:39
Perspectives,ut unseen members of these classes, i.e., methods that we are not aware of or that will be proposed in the future. §12.1 presents a few observations that hold for all members of different classes of the taxonomy presented here. §12.2 discusses a few things that I did not cover in the taxonomy presented here.作者: SUE 時間: 2025-3-23 02:21 作者: eustachian-tube 時間: 2025-3-23 06:38 作者: sultry 時間: 2025-3-23 11:47 作者: 骯臟 時間: 2025-3-23 17:48
https://doi.org/10.1007/978-0-387-85627-8bfield of a scientific discipline emerges, it almost by definition attracts a mixed crowd of researchers from related, but different subfields. These researchers of course do not yet form a consolidated network and also typically bring slightly different traditions, languages, and protocols from the作者: arthroplasty 時間: 2025-3-23 19:07 作者: Barrister 時間: 2025-3-24 02:03
Use of glucose syrups in the food industry,n the sense that they do not require induction of additional parameters, and . in that the explanations do not aim to generalize across representative samples of data: each data point is explained on its own terms.作者: Malcontent 時間: 2025-3-24 03:42 作者: 劇本 時間: 2025-3-24 06:57
Stochastic Lot Sizing Problems,to address which gates and attention heads are discriminative, and which are redundant and dispensable: examples would include sentences such as . or . The extent to which gates or attention heads can be removed, tells us a lot about the inner workings of a neural network.作者: 繁榮中國 時間: 2025-3-24 13:12
Paul Humphreys,Brian Fynes,Frank Wiengartenor generation, but they also produce text encodings, i.e., continuous output vectors, which can be used directly for a range of tasks, e.g., synonymy detection, word alignment, bilingual dictionary induction, sentence retrieval, document retrieval. This chapter presents several (very different) tech作者: accordance 時間: 2025-3-24 17:31
https://doi.org/10.1007/978-3-031-12737-3 can also be interpreted. If we consider . such clouds, we can quantify the extent to which they are structurally similar, for example. Or we can learn clusters of vectors and analyze the clusters manually, or use these to compute functions that enable us to extract influential data points for our t作者: CLASH 時間: 2025-3-24 22:16
Life Stress and Transitions in the Life Span model is generally sensitive to mathematical symbols appearing in first positions in input sentences. To test this, what would you do? One obvious thing to do is to sample . sentences and design a test data set of (.+1) × . input examples, . examples for each of the original sentences. The number .作者: gruelling 時間: 2025-3-25 00:26
Stroke Due to Large Artery Atherosclerosis,comprehended holistically. Obviously, the faithfulness of . depends on the extent to which it agrees with h, e.g., its loss relative to ., .), .)). Some approaches explicitly minimize this loss through a process, sometimes referred to as . of . (Petrov et al., 2010). Related work trains a model . to作者: Chemotherapy 時間: 2025-3-25 05:06
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作者: WITH 時間: 2025-3-25 09:34 作者: 阻止 時間: 2025-3-25 14:23
978-3-031-01052-1Springer Nature Switzerland AG 2021作者: 壓倒 時間: 2025-3-25 17:29
Explainable Natural Language Processing978-3-031-02180-0Series ISSN 1947-4040 Series E-ISSN 1947-4059 作者: archenemy 時間: 2025-3-25 21:36
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.作者: 兵團 時間: 2025-3-26 04:10 作者: 暫時別動 時間: 2025-3-26 05:48
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.作者: 使聲音降低 時間: 2025-3-26 11:00
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).作者: 新字 時間: 2025-3-26 15:52 作者: cancellous-bone 時間: 2025-3-26 19:33 作者: 道學(xué)氣 時間: 2025-3-26 22:17
Stroke Due to Large Artery Atherosclerosis,me approaches explicitly minimize this loss through a process, sometimes referred to as . of . (Petrov et al., 2010). Related work trains a model . to predict the performance of . based on data set characteristics. The approximation . does not provide local explanations in this case, but a high-level error analysis of . known as a 作者: extrovert 時間: 2025-3-27 03:10 作者: Polydipsia 時間: 2025-3-27 08:51 作者: 弓箭 時間: 2025-3-27 11:08
Book 2021e 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 consi作者: 招待 時間: 2025-3-27 14:32
https://doi.org/10.1007/978-0-387-85627-8ways; researchers reinventing what they did not know already existed; and researchers proposing new models that only in the absence of established evaluation protocols, seem superior to existing ones.作者: 能得到 時間: 2025-3-27 20:39
Life Stress and Transitions in the Life Spanerformance on this data set and its . subsets would enable you to determine if your hypothesis is plausible or implausible. What you have produced, is sometimes called a . in the NLP literature, and it illustrates how we can explain model decisions based on the model’s . across a set of local (non-representative) input examples.作者: Cardiac 時間: 2025-3-27 22:45
Introduction,ways; researchers reinventing what they did not know already existed; and researchers proposing new models that only in the absence of established evaluation protocols, seem superior to existing ones.作者: FEIGN 時間: 2025-3-28 05:25
Local-Forward Explanations of Discrete Output,erformance on this data set and its . subsets would enable you to determine if your hypothesis is plausible or implausible. What you have produced, is sometimes called a . in the NLP literature, and it illustrates how we can explain model decisions based on the model’s . across a set of local (non-representative) input examples.作者: 原始 時間: 2025-3-28 08:51
Behavioral Pharmacology of Caffeineons in terms of input subsegments (so-called . e.g., from LIME, and explanations in terms of training instances, e.g., from influence functions. Since the explanation classes are somewhat informal (compared to taxonomy presented here), I simply refer to them as 作者: sed-rate 時間: 2025-3-28 14:16
Evaluating Explanations,ons in terms of input subsegments (so-called . e.g., from LIME, and explanations in terms of training instances, e.g., from influence functions. Since the explanation classes are somewhat informal (compared to taxonomy presented here), I simply refer to them as 作者: archetype 時間: 2025-3-28 18:02 作者: medieval 時間: 2025-3-28 20:18
A Framework for Explainable NLP,y induced from a sample of . data points . =. by a learning algorithm. In linear classification, . is the set of all possible lines (hyperplanes), and the perceptron learning algorithm, for example, can be used to search for a good line h(?) by iteratively correcting the errors made by the current h作者: Indicative 時間: 2025-3-29 01:14 作者: 遺留之物 時間: 2025-3-29 05:20 作者: 青春期 時間: 2025-3-29 08:48 作者: 大量 時間: 2025-3-29 12:42 作者: 引起痛苦 時間: 2025-3-29 16:41 作者: 無能力 時間: 2025-3-29 23:36
Local-Forward Explanations of Discrete Output, model is generally sensitive to mathematical symbols appearing in first positions in input sentences. To test this, what would you do? One obvious thing to do is to sample . sentences and design a test data set of (.+1) × . input examples, . examples for each of the original sentences. The number .作者: 時間等 時間: 2025-3-30 00:08
Global-Forward Explanations of Discrete Output,comprehended holistically. Obviously, the faithfulness of . depends on the extent to which it agrees with h, e.g., its loss relative to ., .), .)). Some approaches explicitly minimize this loss through a process, sometimes referred to as . of . (Petrov et al., 2010). Related work trains a model . to作者: famine 時間: 2025-3-30 05:55 作者: 音樂戲劇 時間: 2025-3-30 09:44 作者: 小說 時間: 2025-3-30 12:46
