Alexander Rush is an Associate Professor at Cornell University. His research group studies data-driven, probabilistic systems for natural language processing and generation. They are interested in empirically accurate methods that, when possible, are rooted in data and guided by efficient inference. Their recent work has focused on the intersection of deep learning and structured prediction, with an application focus on text generation and document-level understanding.
