Simon Šuster
TitleCited byYear
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
S Šuster, I Titov, G van Noord
NAACL, 2016
352016
Using Distributed Representations to Disambiguate Biomedical and Clinical Concepts
S Tulkens, S Šuster, W Daelemans
BioNLP, ACL, 2016
222016
GLAD: Groningen Lightweight Authorship Detection
M Hürlimann, B Weck, E van den Berg, S Šuster, M Nissim
Working Notes Papers of the CLEF, 2015
182015
CliCR: A Dataset of Clinical Case Reports for Machine Reading Comprehension
S Šuster, W Daelemans
NAACL, 2018
112018
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
112017
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
102018
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
92017
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
82017
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
62009
Gradnja novega korpusa slovenščine
N Logar Berginc, S Šuster
Jezik in slovstvo 54 (3-4), 57--68, 2009
5*2009
From neighborhood to parenthood: the advantages of dependency representation over bigrams in Brown clustering
S Šuster, G van Noord
COLING, 10, 2014
42014
Rule induction for global explanation of trained models
M Sushil, S Šuster, W Daelemans
BlackboxNLP, EMNLP, 2018
32018
Empirical studies on word representations
S Šuster
University of Groningen, 2016
22016
Unsupervised concept extraction from clinical text through semantic composition
S Tulkens, S Šuster, W Daelemans
Journal of biomedical informatics 91, 103120, 2019
12019
Revisiting neural relation classification in clinical notes with external information
S Šuster, M Sushil, W Daelemans
LOUHI, 2018
12018
Unsupervised patient representations from clinical notes with interpretable classification decisions
M Sushil, S Šuster, K Luyckx, W Daelemans
Machine Learning for Health, NeurIPS, 2017
12017
Word Representations, Tree Models and Syntactic Functions
S Šuster, G van Noord, I Titov
arXiv preprint arXiv:1508.07709, 2015
12015
An investigation into language complexity of World-of-Warcraft game-external texts
S Šuster
arXiv preprint arXiv:1502.02655, 2015
12015
GIGAFIDA
N Logar, S Krek, T Erjavec, M Grčar, P Holozan, S Šuster
Univerza v Ljubljani, Fakulteta za družbene vede, 2012
12012
Why can't memory networks read effectively?
S Šuster, M Sushil, W Daelemans
arXiv preprint arXiv:1910.07350, 2019
2019
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Articles 1–20