PUB - Publikationen an der Universität Bielefeld

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• [10]
  

  2024 | Konferenzbeitrag | PUB-ID: 2988690

  Blum, M., Nolano, G., Ell, B. & Cimiano, P. (2024). Investigating the Impact of Different Graph Representations for Relation Extraction with Graph Neural Networks. Proceedings of the Deep Learning and Linguistic Linked Data Workshop at LREC-COLING. Gehalten auf der Deep Learning and Linguistic Linked Data Workshop at LREC-COLING.

  PUB
   
• [9]
  

  2024 | Konferenzbeitrag | PUB-ID: 2988689

  Nolano, G., Blum, M., Ell, B. & Cimiano, P. (2024). Pointing out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials. arXiv:2402.19076. Gehalten auf der Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING).

  PUB | arXiv
   
• [8]
  

  2023 | Konferenzbeitrag | PUB-ID: 2983359

  Blum, M., Ell, B. & Cimiano, P. (2023). Insights from an OTTR-centric Ontology Engineering Methodology. Proceedings of the 14th Workshop on Ontology Design and Patterns (WOP 2023) (S. 14). CEUR.

  PUB | arXiv
   
• [7]
  

  2023 | Preprint | PUB-ID: 2983360

  Gao, F., Jiang, H., Blum, M., Lu, J., Liu, D., Jiang, Y. & Li, I. (2023). Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts. arXiv:2308.10410.

  PUB | arXiv
   
• [6]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966506

  Blum, M., Ell, B. & Cimiano, P. (2022). Exploring the impact of literal transformations within Knowledge Graphs for Link Prediction (ACM Other Conferences). In A. Artale, D. Calvanese, H. Wang & X. Zhang (Hrsg.), IJCKG '22: Proceedings of the 11th International Joint Conference on Knowledge Graphs (S. 48-54). Gehalten auf der IJCKG, New York, NY: ACM. doi:10.1145/3579051.3579069.

  PUB | DOI | Download (ext.)
   
• [5]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966505

  Blum, M. (2022). Induction of Joint Vector-space Embeddings from Heterogeneous Data Sources (CEUR Workshop Proceedings). Proceedings of the Doctoral Consortium at ISWC 2022. Gehalten auf der ISWC-Doctoral Consortium 2022, Aachen: RWTH.

  PUB | Download (ext.)
   
• [4]
  

  2022 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2966403

  Blum, M. & Ell, B. (2022). Data-driven ontology engineering with OTTR: benefits & challenges derived from practical experience. Gehalten auf der 3rd OTTR user forum.

  PUB | Download (ext.)
   
• [3]
  

  2021 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2966404

  Ell, B., Blum, M. & Schröder, F. (2021). DiProMag & OTTR. Gehalten auf der 2nd OTTR user forum.

  PUB | Download (ext.)
   
• [2]
  

  2021 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2966401

  Blum, M., Ell, B. & Schröder, F. (2021). OTTR (Reasonable Ontology Templates) Extension. Gehalten auf der SMWCon.

  PUB | Download (ext.)
   
• [1]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966402

  Le, D.K., Krummel, V., Blum, M. & Lueke, B.J. (2018). A practical approach for optical skimming and automatic identification of the pressed contents on touchscreen devices (Conference Presentation) (Proceedings of SPIE). In H. Bouma, R.J. Stokes, Y. Yitzhaky & R. Prabhu (Hrsg.), Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies II (S. 25). Gehalten auf der Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies, SPIE. doi:10.1117/12.2325347.

  PUB | DOI | Download (ext.)