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109 Publications


2022 | Conference Paper | LibreCat-ID: 34067
M. Sengupta, M. Alshomary, and H. Wachsmuth, “Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning,” 2022.
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2022 | Conference Abstract | LibreCat-ID: 46289 | OA
N. C. Banh, I. Scharlau, and K. J. Rohlfing, “Folgen wiederholter Negation auf die Aufmerksamkeit,” in 52. Kongress der Deutschen Gesellschaft für Psychologie, Hildesheim, Germany, 2022.
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2022 | Conference Paper | LibreCat-ID: 51343
D. Battefeld and S. Kopp, “Formalizing cognitive biases in medical diagnostic reasoning,” presented at the 8th Workshop on Formal and Cognitive Reasoning (FCR), Trier, 2022.
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2022 | Journal Article | LibreCat-ID: 48780
M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “Agnostic Explanation of Model Change based on Feature Importance,” KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 211–224, 2022, doi: 10.1007/s13218-022-00766-6.
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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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2022 | Conference Paper | LibreCat-ID: 61303
A. Artelt, J. Brinkrolf, R. Visser, and B. Hammer, “Explaining Reject Options of Learning Vector Quantization Classifiers,” 2022, doi: 10.5220/0011389600003332.
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2022 | Conference Paper | LibreCat-ID: 61302
A. Artelt, R. Visser, and B. Hammer, “Model Agnostic Local Explanations of Reject,” 2022, doi: 10.14428/esann/2022.es2022-34.
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2022 | Journal Article | LibreCat-ID: 51349
J. B. Fisher, V. Lohmer, F. Kern, W. Barthlen, S. Gaus, and K. Rohlfing, “Exploring monological and dialogical phases in naturally occurring explanations,” KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 317–326, 2022, doi: 10.1007/s13218-022-00787-1.
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