Towards Cognitively More Plausible Models

Lisa Beinborn*, Nora Hollenstein

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

Abstract

When initiating the writing process for this book, we hoped that it would bring us closer to a definition of the properties that make a model cognitively 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 procedural strategies. We think that it is more useful to interpret cognitive plausibility as a graded concept and evaluate models comparatively by clearly 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 [1].

Original languageEnglish
Title of host publicationCognitive Plausibility in Natural Language Processing
EditorsLisa Beinborn, Nora Hollenstein
PublisherSpringer Nature
Pages153-158
Number of pages6
ISBN (Electronic)973031432606
ISBN (Print)9783031432590, 9783031432620
DOIs
Publication statusPublished - 2024

Publication series

NameSynthesis Lectures on Human Language Technologies
ISSN (Print)1947-4040
ISSN (Electronic)1947-4059

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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