Unsupervised context-sensitive spelling correction of English and Dutch clinical free-text with word and character n-gram embeddings P Fivez, S Šuster, W Daelemans arXiv preprint arXiv:1710.07045, 2017 | 64 | 2017 |
Mapping probability word problems to executable representations S Suster, P Fivez, P Totis, A Kimmig, J Davis, L De Raedt, W Daelemans Proceedings of the 2021 conference on empirical methods in natural language …, 2021 | 9 | 2021 |
Conceptual grounding constraints for truly robust biomedical name representations P Fivez, S Suster, W Daelemans Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 7 | 2021 |
Scalable few-shot learning of robust biomedical name representations P Fivez, S Suster, W Daelemans Proceedings of the 20th workshop on Biomedical Language Processing, 23-29, 2021 | 4 | 2021 |
Integrating higher-level semantics into robust biomedical name representations P Fivez, S Suster, W Daelemans Proceedings of the 12th international workshop on Health Text Mining and …, 2021 | 3 | 2021 |
The CLIN33 Shared Task on the Detection of Text Generated by Large Language Models P Fivez, W Daelemans, T Van de Cruys, Y Kashnitsky, S Chamezopoulos, ... Computational Linguistics in the Netherlands Journal 13, 233-259, 2024 | 1 | 2024 |
Improving COVID-19 metadata findability and interoperability in the European Open Science Cloud C Ohmann, S Canham, K Majcen, P Holub, G Saunders, J Tang, ... ARPHA Preprints 4, e107873, 2023 | | 2023 |
More meaning than meets the eye. Robust and scalable applications of pre-trained representations for biomedical NLP P Fivez University of Antwerp, 2021 | | 2021 |
by Subject B Özdemir, A Mathur, J Bischof, JE Eriksson, JK Hériché, J Moore, ... Policy 5, 12-2023, 0 | | |
Mining gold from EMRs: using clinical notes to automate patient screenings M Beeksma, M Sushil, P Fivez, S Šuster, F Kunneman, G Ghanem, ... | | |