Simon Šuster
Simon Šuster
Researcher in Natural Language Processing
Verified email at - Homepage
Cited by
Cited by
CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehension
S Šuster, W Daelemans
NAACL, 2018
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
S Šuster, I Titov, G van Noord
NAACL, 2016
A Short Review of Ethical Challenges in Clinical Natural Language Processing
S Šuster, S Tulkens, W Daelemans
First Workshop on Ethics in Natural Language Processing (EACL), 2017
Patient representation learning and interpretable evaluation using clinical notes
M Sushil, S Šuster, K Luyckx, W Daelemans
Journal of biomedical informatics 84, 103-113, 2018
Unsupervised context-sensitive spelling correction of clinical free-text with word and character n-gram embedding
P Fivez, S Šuster, W Daelemans
BioNLP, ACL, 2017
GLAD: Groningen Lightweight Authorship Detection
M Hürlimann, B Weck, E van den Berg, S Šuster, M Nissim
Working Notes Papers of the CLEF, 2015
Using Distributed Representations to Disambiguate Biomedical and Clinical Concepts
S Tulkens, S Šuster, W Daelemans
BioNLP, ACL, 2016
Rule induction for global explanation of trained models
M Sushil, S Šuster, W Daelemans
BlackboxNLP, EMNLP, 2018
Brief description of covid-see: The scientific evidence explorer for covid-19 related research
K Verspoor, S Šuster, Y Otmakhova, S Mendis, Z Zhai, B Fang, JH Lau, ...
Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021
Are we there yet? Exploring clinical domain knowledge of BERT models
M Sushil, S Suster, W Daelemans
Proceedings of the 20th Workshop on Biomedical Language Processing, 41-53, 2021
Unsupervised concept extraction from clinical text through semantic composition
S Tulkens, S Šuster, W Daelemans
Journal of biomedical informatics 91, 103120, 2019
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
Computational Linguistics in the Netherlands Journal, 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
Automating Quality Assessment of Medical Evidence in Systematic Reviews: Model Development and Validation Study
S Šuster, T Baldwin, JH Lau, A Jimeno Yepes, D Martinez Iraola, ...
Journal of medical Internet research 25, e35568, 2023
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
From neighborhood to parenthood: the advantages of dependency representation over bigrams in Brown clustering
S Šuster, G van Noord
COLING, 10, 2014
Gradnja novega korpusa slovenščine
N Logar Berginc, S Šuster
Jezik in slovstvo 54 (3-4), 57--68, 2009
Specifikacije za izdelavo leksikalne baze za slovenščino: standard za izdelavo posamezne leksikalne enote v leksikalni bazi. Projekt» Sporazumevanje v slovenskem jeziku «ESS in MŠŠ
P Gantar, K Grabnar, P Kocjančič, S Krek, O Pobirk, R Rejc, M Šorli, ...
Projekt Sporazumevanje v slovenskem jeziku ESS in MŠŠ (2008–2013), 2009
Impact of detecting clinical trial elements in exploration of COVID-19 literature
S Šuster, K Verspoor, T Baldwin, JH Lau, AJ Yepes, DM Iraola, ...
2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 495-496, 2021
Improved topic representations of medical documents to assist covid-19 literature exploration
J Otmakhova, K Verspoor, T Baldwin, S Suster
Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, 2020
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