| Analysis of the attention in tabular language models A Koleva, M Ringsquandl, V Tresp NeurIPS 2022 First Table Representation Workshop, 2022 | 4 | 2022 |
| Named Entity Recognition in Industrial Tables using Tabular Language Models A Koleva, M Ringsquandl, M Buckley, R Hasan, V Tresp (EMNLP 2022) Proceedings of the 2022 Conference on Empirical Methods in …, 2022 | 4 | 2022 |
| Generating Table Vector Representations A Koleva, M Ringsquandl, M Joblin, V Tresp DL4KG@ISWC2021, 2021 | 3 | 2021 |
| Knowledge Graphs Evolution and Preservation--A Technical Report from ISWS 2019 N Abbas, K Alghamdi, M Alinam, F Alloatti, G Amaral, C d'Amato, ... arXiv preprint arXiv:2012.11936, 2020 | 2 | 2020 |
| Knowledge graphs evolution and preservation VA Carriero, L Asprino, R Biswas, I Celino, J Domingue, M Dumontier, ... | 2 | 2020 |
| Adversarial Attacks on Tables with Entity Swap A Koleva, M Ringsquandl, V Tresp arXiv preprint arXiv:2309.08650, 2023 | 1 | 2023 |
| Wiki-TabNER: Advancing Table Interpretation Through Named Entity Recognition A Koleva, M Ringsquandl, A Hatem, T Runkler, V Tresp arXiv preprint arXiv:2403.04577, 2024 | | 2024 |
| Method and system for automated column type annotation M Ringsquandl, M Joblin, A Koleva, SS Sunder US Patent App. 18/338,302, 2023 | | 2023 |
| Active Learning with Tabular Language Models M Ringsquandl, A Koleva NeurIPS 2022 First Table Representation Workshop, 2022 | | 2022 |
| Review of the Recent Techniques for Learning Commonsense Knowledge Applied to the Winograd Schema Challenge A Koleva ECAI 2020, 2909-2910, 2020 | | 2020 |
Martin RingsquandlSiemens TechnologyVerified email at siemens.com
