Advances in supervised learning approaches to object recognition flourished in part
because of the availability of high-quality datasets and associated benchmarks. However …

One of the main limitations of natural language‐based approaches to meaning is that they
do not incorporate multimodal representations the way humans do. In this study, we …

Cloud-based visualization services have made visual analytics accessible to a much wider
audience than ever before. Systems such as Tableau have started to amass increasingly …

Understanding and measuring sentence acceptability is of fundamental importance for
linguists, but although many measures for doing so have been developed, relatively little is …

Deep-learning vision models have shown intriguing similarities and differences with respect
to human vision. We investigate how to bring machine visual representations into better …

Assessing similarity between design ideas is an inherent part of many design evaluations to
measure novelty. In such evaluation tasks, humans excel at making mental connections …

Psychological embeddings provide a powerful formalism for characterizing human-
perceived similarity among members of a stimulus set. Obtaining high-quality embeddings …

In this article, we address the problem of measuring and analyzing sensation, the subjective
magnitude of one's experience. We do this in the context of the method of triads: The …

People routinely use facial expressions to communicate successfully and to regulate other's
behaviour, yet modelling the form and meaning of these facial behaviours has proven …

One of the main limitations in natural language-based approaches to meaning is that they
are not grounded. In this study, we evaluate how well different kinds of models account for …