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.
- 2024
- Published
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
- 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, 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
- 2023
- Published
A Structure and Content Prompt-based Method for Knowledge Graph Question Answering over Scholarly Data
Jiang, L., Yan, X. & Usbeck, R., 14.12.2023, 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., Jaradeh, M. Y., Auer, S., Singh, G., Mutharaju, R. & Kapanipathi, P. (eds.). Aachen: Rheinisch-Westfälische Technische Hochschule Aachen, Vol. 3592. 7 p. 3. (CEUR Workshop Proceedings; vol. 3592).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Inflation Narratives from a Machine Learning Perspective
Möller, C., Huang, J., Weinig, M. V., Usbeck, R. & Fritsche, U., 01.10.2023, Digital Total - Computing & Data Science an der Universität Hamburg und in der Wissenschaftsmetropole Hamburg: Book of Abstracts. Semmann, M., Yimam, S. M., Schöning-Stierand, K. & Biemann, C. (eds.). Hamburg: Universitat Hamburg, p. 143 1 p.Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review
- Published
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
- Published
ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System
Banerjee, D., Yimam, S. M., Awale, S. & Biemann, C., 2023, Scientific Document Understanding 2023. Veyseh, A. P. B., Dernoncourt, F., Nguyen, T. H. & Lai, V. D. (eds.). Aachen: Sun Site Central Europe (RWTH Aachen University), 6 p. 4. (CEUR Workshop Proceedings; vol. 3656).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
BERTologyNavigator: Advanced Question Answering with BERT-based Semantics
Rajpal, S. & 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., Jaradeh, M. Y., Auer, S., Singh, G., Mutharaju, R. & Kapanipathi, P. (eds.). Aachen: Rheinisch-Westfälische Technische Hochschule Aachen, Vol. 3592. 8 p. 7. (CEUR Workshop Proceedings; vol. 3592).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review