Titlebook: Cognitive Plausibility in Natural Language Processing; Lisa Beinborn,Nora Hollenstein Book 2024 The Editor(s) (if applicable) and The Auth

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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

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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

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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.

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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.

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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.

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Cognitive Plausibility in Natural Language Processing978-3-031-43260-6Series ISSN 1947-4040 Series E-ISSN 1947-4059

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