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.

  1. 2024
  2. 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 contributionsJournal articlesResearchpeer-review

  3. 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/worksArticle in conference proceedingsResearchpeer-review

  4. Published

    D2R2 2024: Linked Data-driven Resilience Research 2024: Proceedings of the Third International Workshop on Linked Data-driven Resilience Research (D2R2'24) co-located with European Semantic Web Conference 2024 (ESWC 2024), May 27, 2024

    Holze, J. (Editor), Tramp, S. (Editor), Martin, M. (Editor), Auer, S. (Editor), Usbeck, R. (Editor) & Krdzavac, N. (Editor), 2024, Aachen: Rheinisch-Westfaelische Technische Hochschule Aachen. (CEUR Workshop Proceedings; vol. 3707)

    Research output: Books and anthologiesConference proceedingsResearch

  5. In preparation

    Hybrid-SQuAD: Hybrid Scholarly Question Answering Dataset

    Taffa, T. A., Banerjee, D., Assabie, Y. & Usbeck, R., 2024, (In preparation)

    Research output: other publicationsOtherResearch

  6. Published

    Incorporating Type Information into Zero-Shot Relation Extraction

    Möller, C. & Usbeck, R., 2024, TEXT2KG 2024 and DQMLKG 2024 : 3rd International workshop one knowledge graph generation from text. Data Quality meets Machine Learning and Knowledge Graphs 2024. Tiwari, S., Mihindukulasooriya, N., Osborne, F., Kontokostas, D., D'Souza, J., Kejriwal, M., Pellegrino, M. A., Rula, A., Labra Gayo, J. E., Cochez, M. & Alam, M. (eds.). Aachen: Sun Site Central Europe (RWTH Aachen University), 10 p. (CEUR Workshop Proceedings; vol. 3747).

    Research output: Contributions to collected editions/worksConference contributionpeer-review

  7. Published

    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/worksArticle in conference proceedingsResearchpeer-review

  8. Published

    Master of Disaster: A Disaster-Related Event Monitoring System From News Streams

    Huang, J. & Usbeck, R., 2024

    Research output: other publicationsOtherResearch

  9. 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/worksArticle in conference proceedingsResearchpeer-review

  10. 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/worksArticle in conference proceedingsResearch

  11. 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/worksArticle in conference proceedingsResearchpeer-review