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標(biāo)題: Titlebook: Cognitive Plausibility in Natural Language Processing; Lisa Beinborn,Nora Hollenstein Book 2024 The Editor(s) (if applicable) and The Auth [打印本頁]

作者: 我在爭(zhēng)斗志    時(shí)間: 2025-3-21 19:17
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作者: Nausea    時(shí)間: 2025-3-21 21:44

作者: dissolution    時(shí)間: 2025-3-22 00:29

作者: 贊成你    時(shí)間: 2025-3-22 06:42
Towards Cognitively More Plausible Models,ely plausible. Even when abstracting away from biological plausibility as we did in this book, we cannot yet identify a single approach that will simultaneously lead to higher cognitive plausibility on all of the three dimensions we discussed: behavioral patterns, representational structure, and pro
作者: chondromalacia    時(shí)間: 2025-3-22 11:57
Self-Reinforcing Processes — An AssessmentWe first discuss why cognitive plausibility is a relevant factor for natural language processing research. We then define three dimensions of cognitive plausibility that we address in this book and provide an overview of how we approach their analysis.
作者: 怪物    時(shí)間: 2025-3-22 16:50

作者: 怪物    時(shí)間: 2025-3-22 18:11
https://doi.org/10.1007/978-94-007-7596-1In this chapter, we discuss how behavioral patterns in NLP models can be analyzed. We discuss how models can be systematically tested for linguistic knowledge and introduce methods to diagnose cognitively implausible sensitivity against perturbations.
作者: euphoria    時(shí)間: 2025-3-22 22:28

作者: 埋葬    時(shí)間: 2025-3-23 04:54
Foundations of Language Modeling,In this chapter, we first introduce the required background knowledge about computational language models. We describe the fundamental methodological concepts and modeling decisions behind these models.
作者: Glucocorticoids    時(shí)間: 2025-3-23 09:08
Behavioral Patterns,In this chapter, we discuss how behavioral patterns in NLP models can be analyzed. We discuss how models can be systematically tested for linguistic knowledge and introduce methods to diagnose cognitively implausible sensitivity against perturbations.
作者: GRE    時(shí)間: 2025-3-23 10:58
Lisa Beinborn,Nora HollensteinProvides 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
作者: 煩躁的女人    時(shí)間: 2025-3-23 17:46

作者: CAB    時(shí)間: 2025-3-23 19:25
Introduction: Self-Action Models,ge of cognitive signals that reveal patterns of language processing in humans and discuss methodological characteristics. The cognitive signals we can collect differ with respect to temporal accuracy, the degree of consciousness involved, and the levels of linguistic processing they reflect. We show
作者: 阻塞    時(shí)間: 2025-3-24 00:19
Agota Szende,Bas Janssen,Juan Cabaseshe criteria for comparing the distributional spaces and how these representations can be tested through probing methods. Finally, we argue that grounding language in multimodal aspects by integrating cognitive signals into the models.
作者: 窒息    時(shí)間: 2025-3-24 04:06
Remarks Honoring Dr. Edward E. Jones,ion signals. In the second part, we introduce methods to link these interpretability metrics to phenomena that we observe in cognitive signals. We then discuss how we can adjust the target objective and the inductive bias of the model towards cognitively more plausible procedural patterns.
作者: 不可思議    時(shí)間: 2025-3-24 07:37

作者: Vldl379    時(shí)間: 2025-3-24 10:47
Representational Structure,he criteria for comparing the distributional spaces and how these representations can be tested through probing methods. Finally, we argue that grounding language in multimodal aspects by integrating cognitive signals into the models.
作者: 灰姑娘    時(shí)間: 2025-3-24 18:16

作者: intertwine    時(shí)間: 2025-3-24 20:19
Cognitive Plausibility in Natural Language Processing978-3-031-43260-6Series ISSN 1947-4040 Series E-ISSN 1947-4059
作者: 安定    時(shí)間: 2025-3-25 02:49

作者: HIKE    時(shí)間: 2025-3-25 03:56
Remarks Honoring Dr. Edward E. Jones,ion signals. In the second part, we introduce methods to link these interpretability metrics to phenomena that we observe in cognitive signals. We then discuss how we can adjust the target objective and the inductive bias of the model towards cognitively more plausible procedural patterns.
作者: 逗留    時(shí)間: 2025-3-25 07:29

作者: 序曲    時(shí)間: 2025-3-25 13:58
978-3-031-43262-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
作者: ciliary-body    時(shí)間: 2025-3-25 17:50

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作者: ASSAY    時(shí)間: 2025-3-26 04:28

作者: MANIA    時(shí)間: 2025-3-26 11:17
Introduction: Self-Action Models, collect differ with respect to temporal accuracy, the degree of consciousness involved, and the levels of linguistic processing they reflect. We showcase how the research question affects the choice of the most suitable cognitive signal type.
作者: GULF    時(shí)間: 2025-3-26 14:35

作者: archenemy    時(shí)間: 2025-3-26 16:51
Book 2024he 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 limitatio
作者: flamboyant    時(shí)間: 2025-3-27 00:18
https://doi.org/10.1057/9781137265135ly defining specific aspects of cognitive plausibility. Instead of focusing on models that achieve optimal performance under ideal conditions, we should emphasize aspects of impaired performance under degraded conditions [.].
作者: atopic    時(shí)間: 2025-3-27 02:07
Towards Cognitively More Plausible Models,ly defining specific aspects of cognitive plausibility. Instead of focusing on models that achieve optimal performance under ideal conditions, we should emphasize aspects of impaired performance under degraded conditions [.].
作者: Kindle    時(shí)間: 2025-3-27 07:02
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作者: 法官    時(shí)間: 2025-3-28 01:45
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