Semantic memory: A review of methods, models, and current challenges

AA Kumar - Psychonomic Bulletin & Review, 2021 - Springer
Adult semantic memory has been traditionally conceptualized as a relatively static memory
system that consists of knowledge about the world, concepts, and symbols. Considerable …

A critical review of network‐based and distributional approaches to semantic memory structure and processes

AA Kumar, M Steyvers, DA Balota - Topics in Cognitive …, 2022 - Wiley Online Library
Some of the earliest work on understanding how concepts are organized in memory used a
network‐based approach, where words or concepts are represented as nodes, and …

Free association in a neural network.

R Richie, A Aka, S Bhatia - Psychological Review, 2023 - psycnet.apa.org
Free association among words is a fundamental and ubiquitous memory task. Although
distributed semantics (DS) models can predict the association between pairs of words, and …

Distant connectivity and multiple-step priming in large-scale semantic networks.

AA Kumar, DA Balota, M Steyvers - Journal of Experimental …, 2020 - psycnet.apa.org
We examined 3 different network models of representing semantic knowledge (5,018-word
directed and undirected step distance networks, and an association-correlation network) to …

Core semantic links or lexical associations: assessing the nature of responses in word association tasks

L Vivas, L Manoiloff, AM García, F Lizarralde… - Journal of …, 2019 - Springer
The processes tapped by the widely-used word association (WA) paradigm remain a matter
of debate: while some authors consider them as driven by lexical co-occurrences, others …

Structure, function, and control of the human musculoskeletal network

AC Murphy, SF Muldoon, D Baker, A Lastowka… - PLoS …, 2018 - journals.plos.org
The human body is a complex organism, the gross mechanical properties of which are
enabled by an interconnected musculoskeletal network controlled by the nervous system …

Word association research and the L2 lexicon

T Fitzpatrick, P Thwaites - Language Teaching, 2020 - cambridge.org
Since its modern inception in the late nineteenth century, research on word associations has
developed into a large and diverse area of study, including work with both applied linguistic …

Modeling the structure and dynamics of semantic processing

AS Rotaru, G Vigliocco, SL Frank - Cognitive science, 2018 - Wiley Online Library
The contents and structure of semantic memory have been the focus of much recent
research, with major advances in the development of distributional models, which use word …

In defense of spatial models of semantic representation

MN Jones, TM Gruenenfelder, G Recchia - New Ideas in Psychology, 2018 - Elsevier
Recent semantic space models learn vector representations for word meanings by
observing statistical redundancies across a text corpus. A word's meaning is represented as …

Indirect associations in learning semantic and syntactic lexical relationships

MA Kelly, M Ghafurian, RL West, D Reitter - Journal of Memory and …, 2020 - Elsevier
Computational models of distributional semantics (aka word embeddings) represent a
word's meaning in terms of its relationships with all other words. We examine what …