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15 Publications


2026 | Book Chapter | LibreCat-ID: 61325
A.-L. Vollmer et al., “Components of an explanation for co-constructive sXAI,” in Social Explainable AI, K. J. Rohlfing, K. Främling, S. Alpsancar, K. Thommes, and B. Y. Lim, Eds. Springer.
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2026 | Book Chapter | LibreCat-ID: 61323
B. Wrede, H. Buschmeier, K. J. Rohlfing, M. Booshehri, and A. Grimminger, “Incremental communication,” in Social Explainable AI, K. J. Rohlfing, K. Främling, S. Alpsancar, K. Thommes, and B. Y. Lim, Eds. Springer.
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2025 | Book Chapter | LibreCat-ID: 61150 | OA
M. Booshehri, H. Buschmeier, and P. Cimiano, “A BFO-based ontological analysis of entities in Social XAI,” in Proceedings of the 15th International Conference on Formal Ontology in Information Systems, IOS Press, 2025, pp. 255–268.
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2025 | Conference Abstract | LibreCat-ID: 61153
M. Booshehri, H. Buschmeier, and P. Cimiano, “A BFO-based ontology of context for Social XAI,” presented at the 3rd TRR 318 Conference: Contextualizing Explanations, Bielefeld, Germany, 2025.
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2025 | Conference Paper | LibreCat-ID: 61234 | OA
L. Fichtel et al., “Investigating Co-Constructive Behavior of Large Language Models in  Explanation Dialogues,” presented at the Annual Meeting of the Special Interest Group on Discourse and Dialogue.
LibreCat | Files available | Download (ext.) | arXiv
 

2025 | Conference Paper | LibreCat-ID: 59856 | OA
M. Spliethöver et al., “Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection,” in Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2025, pp. 2421–2449.
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2024 | Conference Paper | LibreCat-ID: 55404
M. Alshomary, F. Lange, M. Booshehri, M. Sengupta, P. Cimiano, and H. Wachsmuth, “Modeling the Quality of Dialogical Explanations,” in Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024, pp. 11523–11536.
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2024 | Conference Paper | LibreCat-ID: 55403 | OA
H. Buschmeier et al., “Towards a Computational Architecture for Co-Constructive Explainable Systems,” in Proceedings of the 2024 Workshop on Explainability Engineering, Lisbon, Portugal, 2024, pp. 20–25, doi: 10.1145/3648505.3648509.
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2024 | Conference Paper | LibreCat-ID: 55917 | OA
M. Booshehri, H. Buschmeier, and P. Cimiano, “Towards a BFO-based ontology of understanding in explanatory interactions,” presented at the 4th International Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI), Santiago de Compostela, Spain, 2024.
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2024 | Conference Paper | LibreCat-ID: 55916
M. Booshehri, H. Buschmeier, and P. Cimiano, “A model of factors contributing to the success of dialogical explanations,” in Proceedings of the 26th ACM International Conference on Multimodal Interaction, San José, Costa Rica, 2024, pp. 373–381, doi: 10.1145/3678957.3685744.
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2024 | Conference Paper | LibreCat-ID: 58722 | OA
M. Spliethöver, S. N. Menon, and H. Wachsmuth, “Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness,” in Findings of the Association for Computational Linguistics: ACL 2024, 2024, pp. 9294–9313, doi: 10.18653/v1/2024.findings-acl.553.
LibreCat | Files available | DOI | Download (ext.)
 

2023 | Conference Paper | LibreCat-ID: 58723
M. Alshomary and H. Wachsmuth, “Conclusion-based Counter-Argument Generation,” in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023, pp. 957–967, doi: 10.18653/v1/2023.eacl-main.67.
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2022 | Conference Paper | LibreCat-ID: 55337
H. Wachsmuth and M. Alshomary, “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations,” in Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 344–354.
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2022 | Conference Paper | LibreCat-ID: 32247
M. Alshomary, J. Rieskamp, and H. Wachsmuth, “Generating Contrastive Snippets for Argument Search,” in Proceedings of the 9th International Conference on Computational Models of Argument, 2022, pp. 21–31, doi: http://dx.doi.org/10.3233/FAIA220138.
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2022 | Conference Paper | LibreCat-ID: 30840
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.
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