representation

Common words, uncommon meanings: Evidence for widespread gender differences in word meaning

Communication relies on a shared understanding of word meaning; however, recent evidence suggests that individual variation in meaning exists even for common nouns. Understanding where and how this variation arises is therefore integral to …

Word prediction in context: An empirical investigation of core vocabulary

Core vocabulary is a topic of huge interest in linguistics and has been studied from a wide variety of perspectives, such as language learning, dictionary studies, and cross-linguistically. In many of these conceptions, word frequency is widely …

Core words in semantic representation

A central question in cognitive science is how semantic information is mentally represented. Two dominant theories of semantic representation are language-based distributional semantic models (which suggest that word meaning is based on which words …

Human-like property induction is a challenge for large language models

The impressive recent performance of large language models such as GPT-3 has led many to wonder to what extent they can serve as models of general intelligence or are similar to human cognition. We address this issue by applying GPT-3 to a classic …

Representational and sampling assumptions drive individual differences in single category generalisation

On simplicity and emergence

Structure at every scale: A semantic network account of the similarities between very unrelated concepts

Representations, approximations, and limitations within a computational framework for cognitive science: Commentary on article by Tecumseh Fitch

Anticipating changes: Adaptation and extrapolation in category learning

How recursive is language? A Bayesian exploration