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.
- Published
Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering
Jiang, L., Huang, J., Möller, C. & Usbeck, R., 06.02.2025Research output: other publications › Other › Research
- In preparation
Reporting and Analysing the Environmental Impact of Language Models on the Example of Commonsense Question Answering with External Knowledge
Usmanova, A., Huang, J., Banerjee, D. & Usbeck, R., 2024, (In preparation) Sustainable AI Conference 2023: Sustainable AI Across Borders: Conference Proceedings. Vol. abs/2408.01453.Research output: Contributions to collected editions/works › Article in conference proceedings › Research
- Published
Revisiting Supervised Contrastive Learning for Microblog Classification
Huang, J. & Usbeck, R., 2024, The 2024 Conference on Empirical Methods in Natural Language Processing: Proceedings of the Conference; November 12-16, 2024. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Kerrville: Association for Computational Linguistics, p. 15644-15653 10 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Scholarly Question Answering Using Large Language Models in the NFDI4DataScience Gateway
Babaei Giglou, H., Taffa, T. A., Abdullah, R., Usmanova, A., Usbeck, R., D’Souza, J. & Auer, S., 2024, Natural Scientific Language Processing and Research Knowledge Graphs - 1st International Workshop, NSLP 2024, Proceedings. Rehm, G., Dietze, S., Schimmler, S. & Krüger, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-18 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14770 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Structuring Sustainability Reports for Environmental Standards with LLMs guided by Ontology
Usmanova, A. & Usbeck, R., 2024, ClimateNLP 2024 - 1st Workshop on Natural Language Processing Meets Climate Change, Proceedings of the Workshop. Stammbach, D., Ni, J., Schimanski, T., Dutia, K., Singh, A., Bingler, J., Christiaen, C., Kushwaha, N., Muccione, V., Vaghefi, S. A. & Leippold, M. (eds.). Association for Computational Linguistics (ACL), p. 168-177 10 p. (ClimateNLP 2024 - 1st Workshop on Natural Language Processing Meets Climate Change, Proceedings of the Workshop).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Surveying the FAIRness of Annotation Tools: Difficult to find, difficult to reuse
Borisova, E., Abu Ahmad, R., Garcia-Castro, L. J., Usbeck, R. & Rehm, G., 01.03.2024, LAW 2024 - 18th Linguistic Annotation Workshop, Co-located with EACL 2024 - Proceedings of the Workshop: Proceedings of the Workshop. Henning, S. & Stede, M. (eds.). Stroudsburg: Association for Computational Linguistics (ACL), p. 29-45 17 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
TextGraphs 2024 Shared Task on Text-Graph Representations for Knowledge Graph Question Answering
Sakhovskiy, A., Salnikov, M., Nikishina, I., Usmanova, A., Kraft, A., Möller, C., Banerjee, D., Huang, J., Jiang, L., Abdullah, R., Yan, X., Ustalov, D., Tutubalina, E., Usbeck, R. & Panchenko, A., 01.08.2024, Proceedings of TextGraphs-17: Graph-based Methods for Natural Language Processing: Graph-Based Methods for Natural Language Processing, 62nd Annual Meeting of the Association of Computational Linguistics. Ustalov, D., Gao, Y., Pachenko, A., Tutubalina, E., Nikishina, I., Ramesh, A., Sakhovskiy, A., Usbeck, R., Penn, G. & Valentino, M. (eds.). Kerrville: Association for Computational Linguistics (ACL), p. 116-125 10 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Understanding Environmental Posts: Sentiment and Emotion Analysis of Social Media Data
Amangeldi, D., Usmanova, A. & Shamoi, P., 07.03.2024, In: IEEE Access. 12, p. 33504-33523 20 p.Research output: Journal contributions › Journal articles › Research › peer-review