Adult semantic memory has been traditionally conceptualized as a relatively static memory
system that consists of knowledge about the world, concepts, and symbols. Considerable …

Recent developments in distributional semantics (Mikolov, Chen, Corrado, & Dean, 2013;
Mikolov, Sutskever, Chen, Corrado, & Dean, 2013) include a new class of prediction-based …

Word associations have been used widely in psychology, but the validity of their application
strongly depends on the number of cues included in the study and the extent to which they …

How brain structures and neuronal circuits mechanistically underpin symbolic meaning has
recently been elucidated by neuroimaging, neuropsychological, and neurocomputational …

Word embeddings are real-valued word representations able to capture lexical semantics
and trained on natural language corpora. Models proposing these representations have …

Modern large language models generate texts that are virtually indistinguishable from those
written by humans and achieve near-human performance in comprehension and reasoning …

A methodological problem in most reaction time (RT) tasks is that some measured RTs may
be outliers, being either too fast or too slow to reflect the task-related processing of interest …

Models trained to estimate word probabilities in context have become ubiquitous in natural
language processing. How do these models use lexical cues in context to inform their word …

When used with positively skewed reaction time distributions, sample medians tend to over-
estimate population medians. The extent of overestimation is related directly to the amount …

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 …