Creativity has long been thought to involve associative processes in memory: connecting
concepts to form ideas, inventions, and artworks. However, associative thinking has been …

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

Creativity research requires assessing the quality of ideas and products. In practice,
conducting creativity research often involves asking several human raters to judge …

Models that represent meaning as high-dimensional numerical vectors—such as latent
semantic analysis (LSA), hyperspace analogue to language (HAL), bound encoding of the …

Distributional semantics provides multidimensional, graded, empirically induced word
representations that successfully capture many aspects of meaning in natural languages, as …

The computational BIA+ model (Dijkstra & Van Heuven, 2002) has provided a useful
account for bilingual word recognition, while the verbal (pre-quantitative) RHM (Kroll & …

Is it possible to learn something without being aware of it? How does emotion influence the
way we think? How can we improve our memory? Fundamentals of Cognition, third edition …

Abstract Machines have achieved a broad and growing set of linguistic competencies,
thanks to recent progress in Natural Language Processing (NLP). Psychologists have …

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

Distributional semantics is a usage-based model of meaning, based on the assumption that
the statistical distribution of linguistic items in context plays a key role in characterizing their …