Timothy Verbeemen

TL;DR: A data set is described that includes eight variables gathered for 13 common superordinate natural language categories and a representative set of 338 exemplars in Dutch, which contains 6 animal categories and 2 borderline artifact-natural-kind categories.

TL;DR: Better fit values were clearly obtained for a model based on intermediately abstract representations, indicating a strategy where people compare the novel stimuli to a set of multiple prototypes, sheds a new light on the prototype versus exemplar discussion that has dominated the literature over the past 25 years.

TL;DR: In this article, the effect of contrast categories on the within-category structure of superordinate and basic level natural language concepts was studied and no evidence for contrast category effects was found in any of the experiments.

TL;DR: In this paper, the effects of typicality information from a target and a contrasting category on reaction times in a speeded categorization task were investigated, and the results showed that typicality was not a predictor of reaction times.

TL;DR: Verbeemen et al. as discussed by the authors presented a two-by-three approach to modeling similarity and taxonomy in Categorization and compared prototype and exemplar models on the one hand and geometric and feature representations on the other hand.