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从语义流畅性数据中得出的知识表示。

Knowledge Representations Derived From Semantic Fluency Data.

作者信息

Zemla Jeffrey C

机构信息

Department of Psychology, Syracuse University, Syracuse, NY, United States.

出版信息

Front Psychol. 2022 Mar 11;13:815860. doi: 10.3389/fpsyg.2022.815860. eCollection 2022.

Abstract

The semantic fluency task is commonly used as a measure of one's ability to retrieve semantic concepts. While performance is typically scored by counting the total number of responses, the ordering of responses can be used to estimate how individuals or groups organize semantic concepts within a category. I provide an overview of this methodology, using Alzheimer's disease as a case study for how the approach can help advance theoretical questions about the nature of semantic representation. However, many open questions surrounding the validity and reliability of this approach remain unresolved.

摘要

语义流畅性任务通常被用作衡量一个人检索语义概念能力的指标。虽然表现通常通过计算反应总数来评分,但反应的顺序可用于估计个体或群体如何在一个类别中组织语义概念。我概述了这种方法,以阿尔茨海默病为例,说明该方法如何有助于推进关于语义表征本质的理论问题。然而,围绕这种方法的有效性和可靠性仍有许多未解决的问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1463/8963473/17928335d397/fpsyg-13-815860-g001.jpg

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