| 2023 | IJCNLP | Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? | Gleb Kuzmin, Artem Vazhentsev, Artem Shelmanov, Xudong Han, Simon Suster, Maxim Panov, Alexander Panchenko, Timothy Baldwin |
| 2021 | EACL | Conceptual Grounding Constraints for Truly Robust Biomedical Name Representations. | Pieter Fivez, Simon Suster, Walter Daelemans |
| 2021 | ECIR | Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research. | Karin Verspoor, Simon Suster, Yulia Otmakhova, Shevon Mendis, Zenan Zhai, Biaoyan Fang, Jey Han Lau, Timothy Baldwin, Antonio Jimeno-Yepes, David Martnez |
| 2021 | EMNLP | Mapping probability word problems to executable representations. | Simon Suster, Pieter Fivez, Pietro Totis, Angelika Kimmig, Jesse Davis, Luc De Raedt, Walter Daelemans |
| 2020 | EMNLP | Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration. | Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, Simon Suster |
| 2018 | EMNLP | Rule induction for global explanation of trained models. | Madhumita Sushil, Simon Suster, Walter Daelemans |
| 2018 | NAACL | CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension. | Simon Suster, Walter Daelemans |
| 2017 | AMIA | Clinical Machine Comprehension Using Case Reports. | Simon Suster, Walter Daelemans |
| 2016 | NAACL | Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders. | Simon Suster, Ivan Titov, Gertjan van Noord |
| 2014 | COLING | From neighborhood to parenthood: the advantages of dependency representation over bigrams in Brown clustering. | Simon Suster, Gertjan van Noord |