Cognitive Plausibility in Natural Language Processing

Author:   Lisa Beinborn ,  Nora Hollenstein
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2024
ISBN:  

9783031432590


Pages:   158
Publication Date:   31 October 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Cognitive Plausibility in Natural Language Processing


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Author:   Lisa Beinborn ,  Nora Hollenstein
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2024
Weight:   0.476kg
ISBN:  

9783031432590


ISBN 10:   3031432592
Pages:   158
Publication Date:   31 October 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Acknowledgments.- Chapter 1 Introduction.- Chapter 2 Foundations of Language Modeling.- Chapter 3 Cognitive Signals of Language Processing.- Chapter 4 Behavioral Patterns.- Chapter 5 Representational Structure.- Chapter 6 Procedural Strategies.- Chapter 7 Towards Cognitively More Plausible Models.- Bibliography. 

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Author Information

Lisa Beinborn is an Assistant Professor for Natural Language Processing at the Computational Linguistics and Text Mining Lab at Vrije Universiteit Amsterdam. She studied Computational Linguistics in Saarbrücken, Barcelona, and Bolzano, and obtained her PhD in Computer Science at TU Darmstadt. Her research focuses on cognitively plausible language processing and cross-lingual models. She works on the interpretability of representational transfer and is interested in educational applications of NLP. Nora Hollenstein is currently working at the Center for Language Technology of the University of Copenhagen and at the Department of Computational Linguistics of the University of Zurich. She obtained her PhD from ETH Zurich working on cognitively inspired NLP. The focus of her research lies in improving and evaluating natural language processing applications with cognitive signals such as eye-tracking and brain activity recordings. She is especially interested in multilingual and multimodal NLP

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