M. Alshomary, R. El Baff, T. Gurcke, and H. Wachsmuth, “The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments,” in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 8782–8797.

H. Wachsmuth and M. Alshomary, “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning How to Explain,” in Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 344–354.

A. Lauscher, H. Wachsmuth, I. Gurevych, and G. Glavas, “On the Role of Knowledge in  Computational Argumentation,” Transactions of the Association for Computational Linguistics, 2022.

J. Kiesel, M. Alshomary, N. Handke, X. Cai, H. Wachsmuth, and B. Stein, “Identifying the Human Values behind Arguments,” in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 4459–4471.

F. Pasic and M. Becker, “Domain-specific Language for Condition Monitoring Software Development,”10.1109/etfa52439.2022.9921730__2022, doi:10.1109/etfa52439.2022.9921730 .

P. Somogyi, “‘Swer siner kunst meister ist, der hat gewalt an siner list’. Herborts von Fritzlar Liet von Troye als Fortsetzungstext des Eneasromans Heinrichs von Veldeke am Schnittpunkt von Aneignung und Neukonstitution,” in Troja bauen, A.-K. Federow and K. Malcher, Eds. Heidelberg: Universitätsverlag Winter, 2022.

M. Spliethöver, M. Keiff, and H. Wachsmuth, “No Word Embedding Model Is Perfect: Evaluating the Representation  Accuracy for Social Bias in the Media,” presented at the The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, 2022.

M.-L. Musiol and S. Winst, “Pfirsichbaum und dunkler Wald. Pflanzliche Konfigurationen zwischen Dynamisierung und Innehalten in ‘Partonopier und Meliur’ Konrads von Würzburg,” in Spiritual Vegetation: Vegetal Nature in Religious Contexts Across Medieval and Early Modern Europe (Berliner Mittelalter- und Fruhneuzeitforschung, Vol. 26), G. Lamsechi and B. Trînca, Eds. Göttingen, 2022, pp. 97–129.

M.-L. Musiol, “Bennewitz, Ingrid/Eming, Jutta/Traulsen, Johannes: Gender Studies – Queer Studies – Intersektionalität. Eine Zwischenbilanz aus mediävistischer Perspektive (Berliner Mittelalter- und Frühneuzeitforschung 25), Göttingen 2019,” Sexuologie. .

M.-L. Musiol, “Menschlicher Körper, heiliger Körper. Zur Kreuzigung Christi im Donaueschinger Passionsspiel,” in Unverfügbar. Kulturen des Heiligen, M. Egidi, L. Peters, and J. Schmidt, Eds. .

R. Fahr, E. A. Janssen, and C. Sureth-Sloane, “Can Tax Rate Changes Accelerate Investment under Entry and Exit Flexibility? – Insights from an Economic Experiment,” FinanzArchiv / Public Finance Analysis, vol. 78, no. 1–2, pp. 239–289, 2022.

E. Eberhartinger, R. Speitmann, C. Sureth-Sloane, and Y. Wu, “How Does Trust Affect Concessionary Behavior in Tax Bargaining?,” FinanzArchiv / Public Finance Analysis, vol. 78, no. 1–2, pp. 112–155, 2022.

T. Hetkämper, L. Claes, and B. Henning, “Schlieren imaging with fractional Fourier transform to visualise ultrasonic fields,” presented at the 21. ITG/GMA- Fachtagung Sensoren und Messsysteme 2022, Nürnberg, 2022.

M. Sengupta, M. Alshomary, and H. Wachsmuth, “Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning,” 2022.

A. Bondarenko et al., “Overview of Touché 2022: Argument Retrieval,” in Lecture Notes in Computer Science, Cham: Springer International Publishing, 2022.

T. Kärner, M. Goller, and A. Maier, “Augmented Reality Anwendungen in der betrieblichen Aus und Weiterbildung,” in Digitalisierung und digitale Medien in der Berufsbildung: Konzepte, Befunde und Herausforderungen, vol. 41, S. Schumann, S. Seeber, and S. Abele, Eds. Bielefeld: wbv, 2022, pp. 213–230.

C. Bonnes, J. Binkert, and M. Goller, “Kompetenzen des betrieblichen Ausbildungspersonals: Eine literaturbasierte Systematisierung,” Berufsbildung in Wissenschaft und Praxis – BWP, no. 4, 2022.

M. Alshomary and M. Stahl, “Argument Novelty and Validity Assessment via Multitask and Transfer Learning,” in Proceedings of the 9th Workshop on Argument Mining, 2022, pp. 111–114.

E. J. McShane et al., “Multimodal quantification of degradation pathways during extreme fast charging of lithium-ion batteries,”10.1039/d2ta05887a__Journal of Materials Chemistry A, vol. 10, no. 44, pp. 23927–23939, 2022, doi:10.1039/d2ta05887a .

M. Yusuf et al., “Simultaneous neutron and X-ray tomography for visualization of graphite electrode degradation in fast-charged lithium-ion batteries,”10.1016/j.xcrp.2022.101145__Cell Reports Physical Science, vol. 3, no. 11, p. 101145, 2022, doi:10.1016/j.xcrp.2022.101145 .