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Sebastian Schuster

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Sebastian Schuster is a postdoctoral fellow at Stanford's Center for the Study of Language and Information (CSLI) and a 2020 Computing Innovation Fellow. His research focuses on computational models of pragmatic utterance interpretation. He is also a core member of the Universal Dependencies initiative, where he leads efforts to make multilingual dependency representations more useful for natural language understanding tasks. He holds a PhD in Linguistics and a MS degree in Computer Science from Stanford University, and a BS in Computer Science from the University of Vienna.