Talk information: TBA

Bio: 

Dominik Stammbach’s research explores applications and the new development of Natural Language Processing methods. He is especially interested in NLP for enhancing access to justice, making law accessible, developing methods to detect misinformation (around climate change and climate change denial) and corporate greenwashing. Stammbach’s work combines a focus on high-quality data and recent trends in NLP.

In his dissertation, Stammbach was developing methods towards data-centric automated fact checking, where he investigated how to extract relevant evidence from long documents, and explored the roles of different knowledge bases in automated fact checking. He was also involved in various projects around enhancing access to justice and making law accessible, and using NLP methods to provide accurate and faithful information around climate change, and to automatically detect misinformation around climate change. His research was published at conferences such as The Annual Meeting of the Association for Computational Linguistics (ACL) and The Conference on Empirical Methods in Natural Language Processing (EMNLP), and various journals such as Communications Earth & Environment, Cognition, and the ACM Journal of Data and Information Quality.

Stammbach completed his Ph.D. at ETH Zurich (Switzerland), and earned a master’s degree in language science and technology from Saarland University (Germany).

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