Aaron is an Assistant Professor in the Department of Linguistics at the University of Rochester, with a secondary appointment in the Department of Computer Science and an affiliation with the Goergen Institute for Data Science. He co-leads the MegaAttitude Project and the Decompositional Semantic Initiative.
Sid is a fourth-year Computer Science PhD Student advised by Aaron White. His research work focuses on extracting event semantics from natural language text. His latest projects involve working on temporal reasoning in natural language inference systems and temporal relation extraction.
Will is a fourth-year PhD student in Computer Science advised by Aaron White and Dan Gildea. His research interests lie broadly in natural language understanding and information extraction. In recent projects, he has developed computational models of event structure and has investigated patterns in lexically-triggered belief and desire inferences across the English lexicon.
Hannah is a fourth-year PhD student co-advised by Aaron White and Len Schubert. Her research aims to enable computers to acquire lexical knowledge for better language understanding. Her current project involves collecting annotated data for verb phrase ellipsis and developing models for identifying and resolving the ellipses. She has also worked on investigating neg-raising inference triggers using a lexicon-scale dataset.
Ben is a fourth-year PhD student in Computer Science co-advised by Aaron White and Len Schubert. His current research involves creating natural language inference models predicting belief and desire inferences (including modeling annotator disagreement in natural language inference), and he is interested in future applications of these models in plan-based dialogue systems.
Stephanie is a second-year PhD student in Linguistics co-advised by Aaron White and Asia Pietraszko. Her current research is focused on statistical models of acceptability.
Jack is a second-year MS student in Linguistics advised by Scott Grimm. His current research focuses on how lexical and syntactic features affect interpretability and acceptability of degraded environments.
Pinxin is a second-year UG student in Computer Science. His current research focuses on coreference resolution.