Henning Wachsmuth leads the Natural Language Processing Group in the Institute of Artificial Intelligence at Leibniz University Hannover.
Research Focus
- Computational argumentation
- Generation of subjective language
- Mitigation of social bias and media bias
- Construction of human-like explanations for educational NLP and explainable AI
Publications
For a list of Henning Wachsmuth’s publications, please follow this link.
Curriculum Vitae
After receiving his PhD from Paderborn University in 2015, Henning Wachsmuth worked as a PostDoc at Bauhaus-Universität Weimar, before he returned to Paderborn as a junior professor for Computational Social Science from 2018 to 2022. His group studied how intentions and views of people are reflected in natural language and how machines can understand and imitate this with NLP methods.
Current projects at L3S
Towards a Framework for Assessing Explanation Quality (TRR 318 INF)
In this project, we study the pragmatic goal of all explaining processes: to be successful — that is, for the explanation to achieve the intended form of understanding.
Metaphor as an Explanation Tool (TRR 318 C04)
The project study with the help of natural language processing how metaphors function and are used within explanations, in order to contribute to the future of explainable AI systems.
