Project C04: Metaphors as an explanation tool
Project C04 investigates metaphors as a specific means to make difficult phenomena interpretable. The innovative aspect is to regard both highlighting and hiding processes when metaphors are utilized in explanations. The project aims to understand how metaphors may either facilitate or impede understanding, and how this understanding can be applied in AI systems to construct metaphors. The project contributes to our understanding of explanation spaces and to the principles by which explanations are generated or tailored to the needs of an explainee by making choices in the explanation space, that is, by systematically highlighting and hiding aspects of the explanandum.
Research areas: Psychology, Computer science
Hilfskräfte
Hannah Osthövener, Paderborn University
Celina Moormann, Paderborn University
Annika Korth, Paderborn University
Publications
M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.
M. Sengupta, M. Alshomary, I. Scharlau, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2023, Association for Computational Linguistics, 2023.
M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 3rd Workshop on Figurative Language Processing (FLP), Association for Computational Linguistics, 2023.
M. Sengupta, M. Alshomary, I. Scharlau, H. Wachsmuth, in: H. Bouamor, J. Pino, K. Bali (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2023, Association for Computational Linguistics, Singapore, 2023, pp. 4636–4659.
M. Sengupta, R. El Baff, M. Alshomary, H. Wachsmuth, in: K. Duh, H. Gomez, S. Bethard (Eds.), Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), Association for Computational Linguistics, Mexico City, Mexico, 2024, pp. 3621–3631.
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