| 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 | 34 | 2017 |
| Neural code search revisited: Enhancing code snippet retrieval through natural language intent G Heyman, T Van Cutsem arXiv preprint arXiv:2008.12193, 2020 | 26 | 2020 |
| 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, 1299-1323, 2016 | 24 | 2016 |
| Natural language-guided programming G Heyman, R Huysegems, P Justen, T Van Cutsem Proceedings of the 2021 ACM SIGPLAN International Symposium on New Ideas …, 2021 | 23 | 2021 |
| Learning unsupervised multilingual word embeddings with incremental multilingual hubs G Heyman, B Verreet, I Vulić, MF Moens Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 22 | 2019 |
| 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, 2016 | 16 | 2016 |
| A deep learning approach to bilingual lexicon induction in the biomedical domain G Heyman, I Vulić, MF Moens BMC bioinformatics 19, 1-15, 2018 | 12 | 2018 |
| Improving the translation environment for professional translators V Vandeghinste, T Vanallemeersch, L Augustinus, B Bulté, F Van Eynde, ... Informatics 6 (2), 24, 2019 | 11 | 2019 |
| Can prediction-based distributional semantic models predict typicality? T Heyman, G Heyman Quarterly Journal of Experimental Psychology 72 (8), 2084-2109, 2019 | 10 | 2019 |
| The impact of ChatGPT on human data collection: A case study involving typicality norming data T Heyman, G Heyman Behavior Research Methods 56 (5), 4974-4981, 2024 | 9 | 2024 |
| 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 | 8 | 2018 |
| 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 | 7 | 2018 |
| SCATE-Smart Computer Aided Translation Environment. V Vandeghinste, T Vanallemeersch, L Augustinus, J Pelemans, ... Baltic Journal of Modern Computing 4 (2), 2016 | 7 | 2016 |
| Cross-modal fashion search S Zoghbi, G Heyman, JC Gomez, MF Moens MultiMedia Modeling: 22nd International Conference, MMM 2016, Miami, FL, USA …, 2016 | 7 | 2016 |
| Cross-modal attribute recognition in fashion S Zoghbi, G Heyman, JC Gomez, MF Moens Proceedings of NIPS Multimodal Machine Learning Workshop, 2015 | 4 | 2015 |
| Smart Computer-Aided Translation Environment (SCATE): Highlights (. pdf) V Vandeghinste, T Vanallemeersch, B Bulté, L Augustinus, F Van Eynde, ... | 2 | 2018 |
| Translators' 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 Symposium on Language for Specific Purposes, LSP, 2017 | 1 | 2017 |
| Representation Learning for Weakly-Supervised Natural Language Processing Tasks G Heyman PhD thesis, Informatics Section, Faculty of Engineering Science, Science …, 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 |
| SCATE–Smart Computer-Aided Translation Environment–Year 3 (/4) V Vandeghinste, T Vanallemeersch, L Augustinus, F Van Eynde, ... | | 2017 |
