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Automatic Scoring of Semantic Fluency [PDF]
Frontiers in Psychology, 2019 In neuropsychological assessment, semantic fluency is a widely accepted measure of executive function and access to semantic memory. While fluency scores are typically reported as the number of unique words produced, several alternative manual scoring methods have been proposed that provide additional insights into performance, such as clusters of ...
Najoung Kim +2 more
exaly +6 more sources
Semantic Fluency Predicts Gait Velocity in PSP. [PDF]
Ann Indian Acad Neurol, 2021 Context: Progressive supranuclear palsy (PSP) is a large-scale network disease resulting in variable signs and symptoms including gait impairment and higher order cognitive dysfunction. Despite few studies showing the association of falls and cognitive dysfunction, the existing literature is yet to establish the exact ...
Chatterjee K +8 more
europepmc +4 more sources
SNAFU: The Semantic Network and Fluency Utility [PDF]
Behavior Research Methods, 2020 AbstractThe verbal fluency task—listing words from a category or words that begin with a specific letter—is a common experimental paradigm that is used to diagnose memory impairments and to understand how we store and retrieve knowledge. Data from the verbal fluency task are analyzed in many different ways, often requiring manual coding that is time ...
Jeffrey C Zemla +2 more
exaly +3 more sources
Knowledge Representations Derived From Semantic Fluency Data. [PDF]
Front Psychol, 2022 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.
Zemla JC.
europepmc +4 more sources
Comparing Semantic Fluency in American Sign Language and English. [PDF]
J Deaf Stud Deaf Educ, 2018 Published: 04 May 2018This study investigated the impact of language modality and age of acquisition on semantic fluency in American Sign Language (ASL) and English.
Sehyr ZS, Giezen MR, Emmorey K.
europepmc +5 more sources
Schizophrenia Research, 2004 Impairments of verbal fluency are recognised in adult-onset schizophrenia but their presence in early-onset schizophrenia is not well established. This study investigated the extent and character of verbal fluency disturbance in young patients close to illness onset.
Timothy J Crow, Simon L Collinson
exaly +4 more sources
Modeling Semantic Fluency Data as Search on a Semantic Network. [PDF]
Cogsci, 2017 Psychologists have used the semantic fluency task for decades to gain insight into the processes and representations underlying memory retrieval. Recent work has suggested that a censored random walk on a semantic network resembles semantic fluency data because it produces optimal foraging.
Zemla JC, Austerweil JL.
europepmc +4 more sources
Semantic fluency deficits and associated brain activity in Parkinson’s disease with mild cognitive impairment [PDF]
Brain Imaging and Behavior, 2022 Jihyun Yang +2 more
exaly +2 more sources
Cognitive Modeling of Semantic Fluency Using Transformers [PDF]
CoRR, 2022 Can deep language models be explanatory models of human cognition? If so, what are their limits? In order to explore this question, we propose an approach called hyperparameter hypothesization that uses predictive hyperparameter tuning in order to find individuating descriptors of cognitive-behavioral profiles.
Animesh Nighojkar +2 more
openaire +2 more sources
The impact of dementia, age and sex on category fluency: Greater deficits in women with Alzheimer's disease [PDF]
, 2008 Original article can be found at: http://www.sciencedirect.com/science/journal/00109452 Copyright Elsevier Masson DOI: 10.1016/j.cortex.2007.11.008A category specific effect in naming tasks has been reported in patients with Alzheimer's dementia ...
Laws, K.R. +2 more
core +1 more source