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Nataliia Kees is a Data Scientist at qdive, where she currently works on developing machine learning applications, in particular for processing text data, as well as conducting research on transparency and interpretability of AI systems. Nataliia has a background in social and computer sciences and her main fields of interest comprise natural language processing, especially text summarization and argument mining, as well as Deep Bayesian Learning, active learning and model uncertainty.