To account for natural variability in cognitive processing, it is standard practice to optimize a
model's parameters by fitting it to behavioral data. Although most language-related theories …

Our knowledge of events and situations in the world plays a critical role in our ability to
understand what is happening around us, to predict what might happen next, and to …

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 …

This article examines how semantic memory processes influence the items that are
considered by decision makers in memory-based preferential choice. Experiments 1A …

Distributional models of semantics learn word meanings from contextual co‐occurrence
patterns across a large sample of natural language. Early models, such as LSA and HAL …

Most compositional distributional semantic models represent sentence meaning with a
single vector. In this paper, we propose a structured distributional model (SDM) that …

People possess significant knowledge about how real-world events typically unfold. Such
event-related semantic memory connects action and object knowledge, is essential for …

The application of word associations has become increasingly widespread. However, the
association norms produced by traditional free association tests tend not to exceed 10,000 …

Both authors contributed to material development, study design and interpretation of results.
Paul Engelhardt undertook data-collection and statistical analyses. Eugen Fischer …

A large literature suggests that the organization of words in semantic memory, reflecting
meaningful relations among words and the concepts to which they refer, supports many …