Beinborn / Hollenstein

Cognitive Plausibility in Natural Language Processing

Springer

ISBN 978-3-031-43259-0

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Bibliografische Daten

Fachbuch

Buch. Hardcover

2023

1 s/w-Abbildung, 2 Farbabbildungen, Bibliographien.

In englischer Sprache

Umfang: xi, 158 S.

Format (B x L): 16,8 x 24 cm

Gewicht: 476

Verlag: Springer

ISBN: 978-3-031-43259-0

Weiterführende bibliografische Daten

Produktbeschreibung

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.

Autorinnen und Autoren

Kundeninformationen

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 evaluation has reached a ceiling Approaches the topic by focusing on behavioral patterns, representational structure, and procedural strategies

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