I have recently submitted a paper based on some work I have been doing at my job at the Embodied Cognition Lab at Lancaster University. In it, we look at a large set of linguistic distributional models commonly used in cognitive psychology, evaluating each on a benchmark behavioural dataset.
Linguistic distributional models are computer models of knowledge, which learn representations of words and their associations from statistical regularities in huge collections of natural language text, such as databases of TV subtitles. These models can then perform various tasks which rely on language, including acting as models of human semantic memory, which is how we're evaluating them.
A preprint of the report is available on Psyarxiv.