Sophie Henning is a PhD student at Bosch Center for Artificial Intelligence and LMU Munich, in Germany. Her research focuses on uncertainty in Natural Language Processing, addressing both linguistic phenomena such as modal verbs that express uncertainty and uncertainty that is tied to deep-learning based machine learning models. She holds a BSc in Computational Linguistics and an MSc in Computer Science from Saarland University, Germany. During her studies, she interned at the Institute of the Czech National Corpus, Prague, and was an exchange student at Paris Cité University, Paris.

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