Dimitar Shterionov
Titel
Zitiert von
Zitiert von
Jahr
Inference and learning in probabilistic logic programs using weighted Boolean formulas
D Fierens, G Van den Broeck, J Renkens, D Shterionov, B Gutmann, ...
Theory and Practice of Logic Programming 15 (3), 358-401, 2015
2422015
Multi-domain neural machine translation
S Tars, M Fishel
arXiv preprint arXiv:1805.02282, 2018
942018
Human versus automatic quality evaluation of NMT and PBSMT
D Shterionov, R Superbo, P Nagle, L Casanellas, T O’dowd, A Way
Machine Translation 32 (3), 217-235, 2018
302018
Empirical evaluation of NMT and PBSMT quality for large-scale translation production
D Shterionov, P Nagle, L Casanellas, R Superbo, T O’Dowd
Proc. of EAMT, 75-80, 2017
212017
Lost in translation: loss and decay of linguistic richness in machine translation
E Vanmassenhove, D Shterionov, A Way
European Association for Machine Translation 1, 2019
162019
Problog2: From probabilistic programming to statistical relational learning
J Renkens, D Shterionov, G Van den Broeck, J Vlasselaer, D Fierens, ...
Proceedings of the NIPS Probabilistic Programming Workshop, 2012
112012
DNF sampling for ProbLog inference
DS Shterionov, A Kimmig, T Mantadelis, G Janssens
arXiv preprint arXiv:1009.3798, 2010
92010
Data acquisition and modeling for learning and reasoning in probabilistic logic environment
D Shterionov, G Janssens
Proceedings of the 15th Portuguese Conference on Artificial Intelligence …, 2011
82011
Implementation and performance of probabilistic inference pipelines
D Shterionov, G Janssens
International Symposium on Practical Aspects of Declarative Languages, 90-104, 2015
72015
The most probable explanation for probabilistic logic programs with annotated disjunctions
D Shterionov, J Renkens, J Vlasselaer, A Kimmig, W Meert, G Janssens
Inductive Logic Programming, 139-153, 2015
72015
Combining SMT and NMT back-translated data for efficient NMT
A Poncelas, M Popovic, D Shterionov, GMB Wenniger, A Way
arXiv preprint arXiv:1909.03750, 2019
62019
Zero-shot translation for indian languages with sparse data
G Mattoni, P Nagle, C Collantes, D Shterionov
Proceedings of the MT Summit, 2017
52017
Compacting boolean formulae for inference in probabilistic logic programming
T Mantadelis, D Shterionov, G Janssens
International Conference on Logic Programming and Nonmonotonic Reasoning …, 2015
52015
Crucial components in probabilistic inference pipelines
D Shterionov, G Janssens
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 1887-1889, 2015
32015
ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction
E Vanmassenhove, A Moryossef, A Poncelas, A Way, D Shterionov
arXiv preprint arXiv:1902.08856, 2019
22019
Integration of a Multilingual Preordering Component into a Commercial SMT Platform
A Ramm, R Superbo, D Shterionov, T O’Dowd, A Fraser
The Prague Bulletin of Mathematical Linguistics 108 (1), 61-72, 2017
22017
Improving KantanMT training efficiency with fast align
D Shterionov, J Du, MA Palminteri, L Casanellas, T O'Dowd, A Way
AMTA, 2016
22016
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation
X Soto, D Shterionov, A Poncelas, A Way
arXiv preprint arXiv:2005.00308, 2020
12020
When less is more in neural quality estimation of machine translation. An industry case study
D Shterionov, F do Carmo, J Moorkens, E Paquin, D Schmidtke, D Groves, ...
European Association for Machine Translation 2, 2019
12019
cProbLog: Restricting the possible worlds of probabilistic logic programs
D Shterionov, G Janssens
Proceedings FLOC workshop Probabilistic Logic Programming, 1-12, 2014
12014
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