Geert Heyman
Geert Heyman
Nokia Bell Labs
Verified email at nokia-bell-labs.com
Title
Cited by
Cited by
Year
Bilingual lexicon induction by learning to combine word-level and character-level representations
G Heyman, I Vulić, MF Moens
Proceedings of the 15th Conference of the European Chapter of the …, 2017
242017
C-BiLDA extracting cross-lingual topics from non-parallel texts by distinguishing shared from unshared content
G Heyman, I Vulić, MF Moens
Data Mining and Knowledge Discovery 30 (5), 1299-1323, 2016
172016
Learning unsupervised multilingual word embeddings with incremental multilingual hubs
G Heyman, B Verreet, I Vulić, MF Moens
142019
A deep learning approach to bilingual lexicon induction in the biomedical domain
G Heyman, I Vulić, MF Moens
BMC bioinformatics 19 (1), 1-15, 2018
92018
Fashion meets computer vision and nlp at e-commerce search
S Zoghbi, G Heyman, JC Gomez, MF Moens
International Journal of Computer and Electrical Engineering 8 (1), 31-43, 2016
92016
Smart Computer Aided Translation Environment
V Vandeghinste, T Vanallemeersch, F Van Eynde, G Heyman, MF Moens, ...
Annual conference of the European Association for Machine Translation-EAMT …, 2015
92015
Cross-modal fashion search
S Zoghbi, G Heyman, JC Gomez, MF Moens
International Conference on Multimedia Modeling, 367-373, 2016
62016
Improving the translation environment for professional translators
V Vandeghinste, T Vanallemeersch, L Augustinus, B Bulté, F Van Eynde, ...
Informatics 6 (2), 24, 2019
52019
Automatic detection and correction of context-dependent dt-mistakes using neural networks
G Heyman, I Vuli, Y Laevaert, MF Moens
Computational Linguistics in the Netherlands Journal 8, 49-65, 2018
52018
Cross-modal attribute recognition in fashion
S Zoghbi, G Heyman, JC Gomez, MF Moens
Proceedings of NIPS Multimodal Machine Learning Workshop, 2015
42015
Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent
G Heyman, T Van Cutsem
arXiv preprint arXiv:2008.12193, 2020
32020
Can prediction-based distributional semantic models predict typicality?
T Heyman, G Heyman
Quarterly Journal of Experimental Psychology 72 (8), 2084-2109, 2019
32019
A flexible and easy-to-use semantic role labeling framework for different languages
QNT Do, A Leeuwenberg, G Heyman, MF Moens
Proceedings of the 27th International Conference on Computational …, 2018
22018
Representation Learning for Weakly-Supervised Natural Language Processing Tasks
G Heyman
12018
SCATE–Smart Computer-Aided Translation Environment–Year 3 (/4)
V Vandeghinste, T Vanallemeersch, L Augustinus, F Van Eynde, ...
Proceedings EAMT 2017, 2017
12017
Natural language-guided programming
G Heyman, R Huysegems, P Justen, T Van Cutsem
arXiv preprint arXiv:2108.05198, 2021
2021
Smart computer-aided translation environment (SCATE): highlights
V Vandeghinste, T Vanallemeersch, B Bulté, L Augustinus, F Van Eynde, ...
21st Annual Conference of the European Association for Machine Translation …, 2018
2018
Smart computer-aided translation environment (SCATE): highlights
V Vandeghinste, T Vanallemeersch, B Bulté, L Augustinus, F Van Eynde, ...
21st Annual Conference of the European Association for Machine Translation …, 2018
2018
Translator's methods of acquiring domain-specific terminology. Information retrieval in terminology using lexical Knowledge Patterns
I Van der Lek-Ciudin, A Rigouts Terryn, G Heyman, E Lefever, F Steurs
Proceedings of the 21st European Symposium on Languages for Special Purposes …, 2018
2018
Automatic detection and correction of real-word dt-mistakes in Dutch using recurrent neural networks
Y Laevaert, G Heyman, MF Moens
Book of Abstracts CLIN 28, 2018
2018
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Articles 1–20