24 citations · 26 across the 3 of their papers we have counts for
3 papers
Testing the limits of natural language models for predicting human language judgments
Tal Golan, Matthew Siegelman, Nikolaus Kriegeskorte +1
Neural network language models can serve as computational hypotheses about how humans process language. We compared the model-human consistency of diverse language models using a n…
Mapping Between fMRI Responses to Movies and their Natural Language Annotations
Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang +8
Several research groups have shown how to correlate fMRI responses to the meanings of presented stimuli. This paper presents new methods for doing so when only a natural language a…
Affordances Provide a Fundamental Categorization Principle for Visual Scenes
Michelle R. Greene, Christopher Baldassano, Andre Esteva +2
How do we know that a kitchen is a kitchen by looking? Relatively little is known about how we conceptualize and categorize different visual environments. Traditional models of vis…