Henning Wachsmuth leads the Natural Language Processing Group at the Institute of Artificial Intelligence of Leibniz University Hannover. After receiving his PhD from Paderborn University in 2015, he worked as a PostDoc at Bauhaus-Universität Weimar, before he returned to Paderborn as a junior professor from 2018 to 2022. His group studies how intentions and views of people are reflected in language and how machines can understand and imitate this with large language models. Henning’s main research interests include computational argumentation, the mitigation of social bias and media bias, and the construction of human-like explanations for educational and explainable NLP.
Yufang Hou is a research scientist at IBM Research Ireland. She is also a visiting professor and co-supervisor at UKP Lab -TU Darmstadt. Her research interests include referential discourse modelling, argument mining, and scholarly document processing. Yufang received WoC “Technical Innovation in Industry” Award in 2020 and IBM Research Outstanding Technical Achievement Award in 2022. Recently, she served as a Senior Area Chair for EMNLP’22/23, IJCNLP-AACL’23, as well as an Area Chair for ACL’23. Yufang co-organized the 8thworkshop on Argument Mining, the first workshop on Argumentation Knowledge Graphs, and Dagstuhl Seminar 22432 on “Towards a Unified Model of Scholarly Argumentation”.
Elena Cabrio is Full Professor at Université Côte d’Azur and member of the Inria-I3S team Wimmics. She holds a Chair in AI at the Interdisciplinary Institute for Artificial Intelligence 3IA Côte d’Azur on “AI and Natural Language”. Her main research interests are Argumentation Mining, Information Extraction and abusive language detection. Goal of her research is to design debating technologies for advanced decision support systems, to support the exchange of information and opinions in different domains (as healthcare and politics), leveraging interdisciplinarity and advances in machine learning for NLP. She currently coordinates the ANTIDOTE (ArgumeNtaTIon-Driven explainable AI fOr digiTal mEdicine) project (CHIST-ERA XAI19).