Search results
Results: 125
Number of items: 125
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Grafberger, S., Groth, P., & Schelter, S. (2024). Towards Interactively Improving ML Data Preparation Code via “Shadow Pipelines”. In Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM): in conjunction with the 2024 ACM SIGMOD/PODS Conference, Santiago, Chile (pp. 7–11). The Association for Computing Machinery. https://doi.org/10.1145/3650203.3663327 -
Allen, B. P., Polat, F., & Groth, P. (2024). SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection. In A. K. Ojha, A. S. Doğruöz, H. T. Madabushi, G. Da San Martino, S. Rosenthal, & A. Rosá (Eds.), The 18th International Workshop on Semantic Evaluation (SemEval-2024) : proceedings of the workshop: SemEval 2024 : June 20-21, 2024 (pp. 839-844). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.semeval-1.120 -
Zhang, P., Cao, C., Zaporojets, K., & Groth, P. (2024). CYCLE: Cross-Year Contrastive Learning in Entity-Linking. In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp. 3197-3206). Association for Computing Machinery. https://doi.org/10.1145/3627673.3679702 -
Daga, E., & Groth, P. (2024). Data journeys: Explaining AI workflows through abstraction. Semantic Web, 15(4), 1057-1083. https://doi.org/10.3233/sw-233407 -
Carriero, V. A., Groth, P., & Presutti, V. (2024). Empirical ontology design patterns and shapes from Wikidata. Semantic Web, 15(6), 2293-2317. https://doi.org/10.3233/sw-243613 -
Soiland-Reyes, S., Goble, C., & Groth, P. (2024). Evaluating FAIR Digital Object and Linked Data as distributed object systems. PeerJ Computer Science, 10, Article e1781. https://doi.org/10.7717/PEERJ-CS.1781 -
Groth, P., Blomqvist, E., & Sequeda, J. F. (2024). Editorial for the Special Issue on Knowledge Engineering. Journal of Web Semantics, 83, Article 100840. https://doi.org/10.1016/j.websem.2024.100840
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