Recent research in artificial intelligence and machine learning has largely emphasized
general-purpose learning and ever-larger training sets and more and more compute. In …

Brain activity in numerous perisylvian brain regions is modulated by the expectedness of
linguistic stimuli. We leverage recent advances in computational parsing models to test what …

Most current accounts of language comprehension agree on a role for prediction, but they
disagree on the importance of domain-general executive resources in predictive behavior. In …

Much research in cognitive neuroscience supports prediction as a canonical computation of
cognition across domains. Is such predictive coding implemented by feedback from higher …

Gender differences in language can be signs of cognitive differences, but can also by
themselves be the cause for such differences. Females have a slight linguistic advantage …

Language is crucial for human intelligence, but what exactly is its role? We take language to
be a part of a system for understanding and communicating about situations. In humans …

Eye-tracking is widely used throughout the scientific community, from vision science and
psycholinguistics to marketing and human-computer interaction. Surprisingly, there is little …

We investigated whether bilinguals' integration of a code-switch during real-time
comprehension, which involves resolving among conflicting linguistic representations …

Long document coreference resolution remains a challenging task due to the large memory
and runtime requirements of current models. Recent work doing incremental coreference …

This book is about one of the most intriguing features of human communication systems: the
fact that words that go together in meaning can occur arbitrarily far away from each other. In …