Chair of Scalable Software Architectures for Data Analytics (ScaDS.AI Dresden/Leipzig)
Organisational unit: Chair
Organisation profile
Chair Holder: Prof. Dr.-Ing. Michael Färber
Related content and researchers (public profile)
- Research output
AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning
Färber, M., Lamprecht, D. & Susanti, Y., 27 Nov 2024, The Semantic Web – ISWC 2024 - 23rd International Semantic Web Conference, Proceedings. Demartini, G., Hose, K., Acosta, M., Palmonari, M., Cheng, G., Skaf-Molli, H., Ferranti, N., Hernández, D. & Hogan, A. (eds.). Springer Science and Business Media B.V., p. 115-133 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 15233 LNCS).Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Embedded Named Entity Recognition using Probing Classifiers
Popovic, N. & Färber, M., Nov 2024, "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Miami, Florida, USA: Association for Computational Linguistics (ACL), p. 17830-17850 21 p.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Assessing Privacy Policies with AI: Ethical, Legal, and Technical Challenges
Aydin, I., Diebel-Fischer, H., Freiberger, V., Möller-Klapperich, J., Buchmann, E., Färber, M. & Lauber-Rönsberg, A. & 1 others, Platow, B., 10 Oct 2024.Research output: Preprint/Documentation/Report › Preprint
GNNAVI: Navigating the Information Flow in Large Language Models by Graph Neural Network
Yuan, S., Nie, E., Färber, M., Schmid, H. & Schütze, H., 16 Aug 2024, 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 3987-4001 15 p.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism
Yuan, S. & Färber, M., Jun 2024, Findings of the Association for Computational Linguistics: NAACL 2024 - Findings. Duh, K., Gomez, H. & Bethard, S. (eds.). Mexico City, Mexico: Association for Computational Linguistics (ACL), p. 920–933 14 p.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review