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Condition: New. pp. 172 1st ed. 2024 edition NO-PA16APR2015-KAP.
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Condition: New.
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Cognitive Plausibility in Natural Language Processing
Language: English
Published by Springer International Publishing, Springer International Publishing, 2024
ISBN 10: 3031432622 ISBN 13: 9783031432620
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering.
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Cognitive Plausibility in Natural Language Processing
Language: English
Published by Springer International Publishing, 2023
ISBN 10: 3031432592 ISBN 13: 9783031432590
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Cognitive Plausibility in Natural Language Processing
Language: English
Published by Springer International Publishing Feb 2024, 2024
ISBN 10: 3031432592 ISBN 13: 9783031432590
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 172 pp. Englisch.
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Cognitive Plausibility in Natural Language Processing
Language: English
Published by Springer International Publishing, Springer International Publishing Nov 2024, 2024
ISBN 10: 3031432622 ISBN 13: 9783031432620
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 172 pp. Englisch.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Cognitive Plausibility in Natural Language Processing
Language: English
Published by Springer Verlag GmbH, 2024
ISBN 10: 3031432622 ISBN 13: 9783031432620
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
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Cognitive Plausibility in Natural Language Processing
Language: English
Published by Springer International Publishing, 2023
ISBN 10: 3031432592 ISBN 13: 9783031432590
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a resource for students and researchers in natural language processing, machine learning, and cognitive scienceArgues that model development targeted purely toward performance-driven evaluation has reached a ceilingApproaches the t.
