Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

Inquiry is fundamental to communication, and machines cannot effectively collaborate with
humans unless they can ask questions. In this work, we build a neural network model for the …

Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systemic biases in coreference …

Models of language production must account for how speakers select referential
expressions, a process that is complicated by the range of options available to speakers (eg …

Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systematic biases in coreference …

Intelligent text entry systems, including the now-ubiquitous predictive keyboard, can make
text entry more efficient, but little is known about how these systems affect the content that …

We improve the informativeness of models for conditional text generation using techniques
from computational pragmatics. These techniques formulate language production as a game …

Abstract Models of language comprehension show that predictable elements are easier to
understand. Does predictability also guide production? While many models suggest it does …

There is a long-standing controversy around the question of whether referent predictability
affects pronominalization: while there are good theoretical reasons for this prediction (eg …

Nominal reference is very flexible—the same object may be called a dalmatian, a dog, or an
animal when all are literally true. What accounts for the choices that speakers make in how …