Professorship for Information Systems, in particular Artificial Intelligence and Explainability
Organisational unit: Professoship
Organisation profile
The research group on Artificial Intelligence and Explainability focuses on hybrid AI methods to make machines understand human-created data. That is, we combine modern, sub-symbolic machine learning approaches with symbolic knowledge engineering based on Knowledge Graphs to develop transparent AI systems. We focus on Knowledge Extraction, Speech Assistants, Question Answering, AI ethics, and more.
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NFDI4DS: Shared Tasks for Scholarly Document Processing
Ahmad, R. A., Abdulla, R., Taffa, T. A., Auer, S., Giglou, H. B., Borisova, E., Chen, Z., Dietze, S., D'Souza, J., Elwes, M., Gesese, G. A., Jiang, S., Kutafina, E., Mayr, P., Rehm, G., Sadruddin, S., Schimmler, S., Schneider, D., Silva, K., Upadhyaya, S. & Usbeck, R., 2025, 55. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2025: The Wide Open - Offenheit von Source bis Science, Potsdam, Germany, September 16-19, 2025. Lucke, U., Stieglitz, S., Uebernickel, F., Lamprecht, A.-L. & Klein, M. (eds.). Gesellschaft für Informatik, Bonn, Vol. P-366. p. 1195-1205 11 p. (LNI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Neuro-Symbolic Relation Extraction
Yan, X., Usmanova, A., Möller, C., Westphal, P. & Usbeck, R., 17.03.2025, Handbook on Neurosymbolic AI and Knowledge Graphs. Hitzler, P., Dalal, A., Mahdavinejad, M. S. & Norouzi, S. S. (eds.). IOS Press BV, p. 550-576 27 p. ( Frontiers in Artificial Intelligence and Applications; vol. 400).Research output: Contributions to collected editions/works › Chapter
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Narration as Functions: from Events to Narratives
Huang, J. & Usbeck, R., 2024, WNU 2024 - 6th Workshop on Narrative Understanding: Proceedings of the Workshop. Lal, Y. K., Clark, E., Iyyer, M., Chaturvedi, S., Brei, A., Brahman, F. & Chandu, K. R. (eds.). Miami, Florida: Association for Computational Linguistics (ACL), p. 1-7 7 p. (WNU 2024 - 6th Workshop on Narrative Understanding, Proceedings of the Workshop).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Master of Disaster: A Disaster-Related Event Monitoring System From News Streams
Huang, J. & Usbeck, R., 2024Research output: other publications › Other › Research
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Machine Learning Applications
Arndt, N., Molitor, P. & Usbeck, R., 27.08.2023, In: IT - Information Technology. 65, 4-5, p. 139-141 3 p.Research output: Journal contributions › Other (editorial matter etc.) › Research
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Low Resource Question Answering: An Amharic Benchmarking Dataset: An Amharic Benchmarking Dataset
Taffa, T. A., Assabie, Y. & Usbeck, R., 2024, The Fifth Workshop on Resources for African Indigenous Languages @LREC-COLING-2024 (RAIL): Workshop Proceedings. Mabuya, R., Matfunjwa, M., Setaka, M. & van Zaanen, M. (eds.). Paris: European Language Resources Association (ELRA), p. 124-132 9 p. (LREC proceedings)( International conference on computational linguistics).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Leveraging LLMs in Scholarly Knowledge Graph Question Answering
Taffa, T. A. & Usbeck, R., 2023, Joint Proceedings of Scholarly QALD 2023 and SemREC 2023 co-located with 22nd International Semantic Web Conference ISWC 2023, Athens, Greece, November 6-10, 2023. Banerjee, D., Usbeck, R., Mihindukulasooriya, N., Singh, G., Mutharaju, R. & Kapanipathi, P. (eds.). CEUR-WS.org, Vol. 3592. 10 p. (CEUR Workshop Proceedings; vol. 3592).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Knowledge Graph Question Answering and Large Language Models
Banerjee, D., Hu, N., Tan, Y., Min, D., Wu, Y., Usbeck, R. & Qi, G., 17.03.2025, Handbook on Neurosymbolic AI and Knowledge Graphs. Hitzler, P., Dalal, A., Mahdavinejad, M. S. & Norouzi, S. S. (eds.). IOS Press BV, p. 466-531 66 p. ( Frontiers in Artificial Intelligence and Applications; vol. 400).Research output: Contributions to collected editions/works › Chapter
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Knowledge-Enhanced Language Models Are Not Bias-Proof: Situated Knowledge and Epistemic Injustice in AI
Kraft, A. & Soulier, E., 03.06.2024, 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024. Association for Computing Machinery, Inc, p. 1433-1445 13 p. (2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Junior fellows and distinguished dissertation of the GI and AI for crisis
Usbeck, R., Kraft, A. & Westphal, P., 01.02.2025, In: IT - Information Technology. 67, 1, p. 1-2 2 p.Research output: Journal contributions › Other (editorial matter etc.) › Research