From neighborhood to parenthood: the advantages of dependency representation over bigrams in Brown clustering. - Simon Suster; Gertjan van Noord (COLING, 2014)

GLAD: Groningen Lightweight Authorship Detection. - Manuela Hürlimann; Benno Weck; Esther van den Berg; Simon Suster; Malvina Nissim (CLEF (Working Notes), 2015)

An investigation into language complexity of World-of-Warcraft game-external texts. - Simon Suster (CoRR, 2015)

Word Representations, Tree Models and Syntactic Functions. - Simon Suster; Gertjan van Noord; Ivan Titov 001 (CoRR, 2015)

Using Distributed Representations to Disambiguate Biomedical and Clinical Concepts. - Stéphan Tulkens; Simon Suster; Walter Daelemans (BioNLP@ACL, 2016)

Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders. - Simon Suster; Ivan Titov 001; Gertjan van Noord (HLT-NAACL, 2016)

Clinical Machine Comprehension Using Case Reports. - Simon Suster; Walter Daelemans (AMIA, 2017)

Unsupervised Context-Sensitive Spelling Correction of Clinical Free-Text with Word and Character N-Gram Embeddings. - Pieter Fivez; Simon Suster; Walter Daelemans (BioNLP, 2017)

A Short Review of Ethical Challenges in Clinical Natural Language Processing. - Simon Suster; Stéphan Tulkens; Walter Daelemans (EthNLP@EACL, 2017)

Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram Embeddings. - Pieter Fivez; Simon Suster; Walter Daelemans (CoRR, 2017)

Unsupervised patient representations from clinical notes with interpretable classification decisions. - Madhumita Sushil; Simon Suster; Kim Luyckx; Walter Daelemans (CoRR, 2017)

Revisiting neural relation classification in clinical notes with external information. - Simon Suster; Madhumita Sushil; Walter Daelemans (Louhi@EMNLP, 2018)

Rule induction for global explanation of trained models. - Madhumita Sushil; Simon Suster; Walter Daelemans (BlackboxNLP@EMNLP, 2018)

CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension. - Simon Suster; Walter Daelemans (NAACL-HLT, 2018)

Patient representation learning and interpretable evaluation using clinical notes. - Madhumita Sushil; Simon Suster; Kim Luyckx; Walter Daelemans (J. Biomed. Informatics, 2018)

Why can't memory networks read effectively? - Simon Suster; Madhumita Sushil; Walter Daelemans (CoRR, 2019)

Unsupervised concept extraction from clinical text through semantic composition. - Stéphan Tulkens; Simon Suster; Walter Daelemans (J. Biomed. Informatics, 2019)

Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration. - Yulia Otmakhova 001; Karin Verspoor; Timothy Baldwin; Simon Suster (NLP4COVID@EMNLP, 2020)

Distilling neural networks into skipgram-level decision lists. - Madhumita Sushil; Simon Suster; Walter Daelemans (CoRR, 2020)

COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research. - Karin Verspoor; Simon Suster; Yulia Otmakhova 001; Shevon Mendis; Zenan Zhai; Biaoyan Fang; Jey Han Lau; Timothy Baldwin; Antonio Jimeno-Yepes; David Martínez 001 (CoRR, 2020)

Integrating Higher-Level Semantics into Robust Biomedical Name Representations. - Pieter Fivez; Simon Suster; Walter Daelemans (LOUHI@EACL, 2021)

Scalable Few-Shot Learning of Robust Biomedical Name Representations. - Pieter Fivez; Simon Suster; Walter Daelemans (BioNLP@NAACL-HLT, 2021)

Are we there yet? Exploring clinical domain knowledge of BERT models. - Madhumita Sushil; Simon Suster; Walter Daelemans (BioNLP@NAACL-HLT, 2021)

Contextual explanation rules for neural clinical classifiers. - Madhumita Sushil; Simon Suster; Walter Daelemans (BioNLP@NAACL-HLT, 2021)

Conceptual Grounding Constraints for Truly Robust Biomedical Name Representations. - Pieter Fivez; Simon Suster; Walter Daelemans (EACL, 2021)

Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research. - Karin Verspoor; Simon Suster; Yulia Otmakhova 001; Shevon Mendis; Zenan Zhai; Biaoyan Fang; Jey Han Lau; Timothy Baldwin; Antonio Jimeno-Yepes; David Martínez 001 (ECIR (2), 2021)

Mapping probability word problems to executable representations. - Simon Suster; Pieter Fivez; Pietro Totis; Angelika Kimmig; Jesse Davis; Luc De Raedt; Walter Daelemans (EMNLP (1), 2021)

Impact of detecting clinical trial elements in exploration of COVID-19 literature. - Simon Suster; Karin Verspoor; Timothy Baldwin; Jey Han Lau; Antonio Jimeno-Yepes; David Martinez Iraola; Yulia Otmakhova 001 (ICHI, 2021)

Impact of detecting clinical trial elements in exploration of COVID-19 literature. - Simon Suster; Karin Verspoor; Timothy Baldwin; Jey Han Lau; Antonio Jimeno-Yepes; David Martínez 001; Yulia Otmakhova 001 (CoRR, 2021)

Promoting Fairness in Classification of Quality of Medical Evidence. - Simon Suster; Timothy Baldwin; Karin Verspoor (BioNLP@ACL, 2023)

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 (IJCNLP (1), 2023)