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Toward a framework for assessing explanation quality (Project INF)

Complementarily to subprojects across research areas A, B, and C, the members of Project INF investigate how the quality and success of an explanation can be measured. For this purpose, the computer scientists will first analyze natural language explanations, such as written records from other projects or explanatory dialogues from internet forums. Based on the findings from this analysis, they will then develop tools and criteria that can be applied to explanations. In addition, the project members will provide TRR researchers with a glossary of key concepts. The aim of this project is to establish an understanding of what makes an explanation successful. With these findings, the researchers will contribute to a comprehensive theory of the co-construction of explanations as elaborated in the TRR.


Wachsmuth, H., & Alshomary, M. (2022). "Mama Always Had a Way of Explaining Things So I Could Understand'': A Dialogue Corpus for Learning to Construct Explanations. Proceedings of the 29th International Conference on Computational Linguistics arXiv.


In this video the project leaders present their view of co-construction.
Research areas

computer science

Project leaders

Prof. Dr. Philipp Cimiano, Bielefeld University

Prof. Dr. Henning Wachsmuth, Leibniz University Hannover


Meisam Booshehri, Bielefeld University

Milad Alshomary, Leibniz University Hannover

Support Staff

Akshit Bhatia, Paderborn University

Paul David Fährmann, Paderborn University

Maryam Bahraminejad, Bielefeld University

Simona Ignatova, Bielefeld University

Maryam Nobakht, Bielefeld University