Biography
Nathan Schneider is a computational linguist. As Associate Professor of Linguistics and Computer Science at Georgetown University, he leads the NERT lab, looking for synergies between practical language technologies and the scientific study of language, with an emphasis on how words, grammar, and context conspire to convey meaning. He is the recipient of an NSF CAREER award to study NLP vis-à-vis metalinguistic enterprises like language learning, linguistics, and legal interpretation. Recently, he has weighed in on specific interpretive debates in U.S. law; one of these analyses was cited by U.S. Supreme Court justices in a major firearms case. He is active in the NLP community—especially ACL’s SIGANN and SIGLEX—and the Universal Dependencies project; and cofounded the SOLID forum for empirical research on legal interpretation. Prior to Georgetown, he inhabited UC Berkeley, Carnegie Mellon University, and the University of Edinburgh. Apart from annotation scheming and computational modeling, he enjoys classical music and chocolate chip cookies.
