Prof. Dr. rer. nat. Henning Wachsmuth

Member

Prof. Dr. rer. nat. Henning Wachsmuth

Member

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

INF

INF

The INF project aims to develop tools and criteria for assessing the quality and success of explanations by analysing natural language explanations and providing a glossary of key concepts.
C04

C04

Project C04 explores how metaphors influence understanding and develops computer methods for AI systems to use metaphors effectively during explanations.
ArgSchool

ArgSchool

The project aims to help German-speaking students improve their argumentative writing skills using algorithmic methods that provide feedback and suggestions for improvement.
OASiS

OASiS

This project lead by Prof. Wachsmuth aims to develop a method for objectively summarizing argumentative texts using natural language processing.