| Inducing relational knowledge from BERT Z Bouraoui, J Camacho-Collados, S Schockaert Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7456-7463, 2020 | 191 | 2020 |
| Lifted relational neural networks: Efficient learning of latent relational structures G Sourek, V Aschenbrenner, F Zelezny, S Schockaert, O Kuzelka Journal of Artificial Intelligence Research 62, 69-100, 2018 | 152 | 2018 |
| Ragas: Automated evaluation of retrieval augmented generation S Es, J James, L Espinosa-Anke, S Schockaert arXiv preprint arXiv:2309.15217, 2023 | 108 | 2023 |
| Jointly learning word embeddings and latent topics B Shi, W Lam, S Jameel, S Schockaert, KP Lai Proceedings of the 40th international ACM SIGIR conference on research and …, 2017 | 102 | 2017 |
| Spatial reasoning in a fuzzy region connection calculus S Schockaert, M De Cock, EE Kerre Artificial Intelligence 173 (2), 258-298, 2009 | 98 | 2009 |
| From knowledge graph embedding to ontology embedding? an analysis of the compatibility between vector space representations and rules V Gutierrez Basulto, S Schockaert | 92 | 2018 |
| Temporal reasoning about fuzzy intervals S Schockaert, M De Cock Artificial Intelligence 172 (8), 1158-1193, 2008 | 90 | 2008 |
| Finding locations of Flickr resources using language models and similarity search O Van Laere, S Schockaert, B Dhoedt Proceedings of the ACM International Conference on Multimedia Retrieval, 2011 | 85 | 2011 |
| Inducing semantic relations from conceptual spaces: a data-driven approach to plausible reasoning J Derrac, S Schockaert Artificial Intelligence 228, 66-94, 2015 | 84 | 2015 |
| Fuzzifying Allen's temporal interval relations S Schockaert, M De Cock, EE Kerre Fuzzy Systems, IEEE Transactions on 16 (2), 517-533, 2008 | 83 | 2008 |
| BERT is to NLP what AlexNet is to CV: Can pre-trained language models identify analogies? A Ushio, L Espinosa-Anke, S Schockaert, J Camacho-Collados arXiv preprint arXiv:2105.04949, 2021 | 81 | 2021 |
| Improving cross-lingual word embeddings by meeting in the middle Y Doval, J Camacho-Collados, L Espinosa-Anke, S Schockaert arXiv preprint arXiv:1808.08780, 2018 | 70 | 2018 |
| Fuzzy region connection calculus: Representing vague topological information S Schockaert, M De Cock, C Cornelis, EE Kerre International Journal of Approximate Reasoning 48 (1), 314-331, 2008 | 62 | 2008 |
| Spatially aware term selection for geotagging O Van Laere, J Quinn, S Schockaert, B Dhoedt IEEE transactions on Knowledge and Data Engineering 26 (1), 221-234, 2013 | 57 | 2013 |
| Don't patronize me! an annotated dataset with patronizing and condescending language towards vulnerable communities C Pérez-Almendros, L Espinosa-Anke, S Schockaert arXiv preprint arXiv:2011.08320, 2020 | 56 | 2020 |
| Interpretable emoji prediction via label-wise attention LSTMs F Barbieri, LE Anke, J Camacho-Collados, S Schockaert, H Saggion Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 53 | 2018 |
| Generalized possibilistic logic: foundations and applications to qualitative reasoning about uncertainty D Dubois, H Prade, S Schockaert Artificial Intelligence 252, 139-174, 2017 | 52 | 2017 |
| Stable models in generalized possibilistic logic D Dubois, H Prade, S Schockaert Thirteenth International Conference on the Principles of Knowledge …, 2012 | 50 | 2012 |
| Time-Dependent Recommendation of Tourist Attractions using Flickr S Van Canneyt, S Schockaert, O Van Laere, B Dhoedt | 50* | |
| Georeferencing Flickr resources based on textual meta-data O Van Laere, S Schockaert, B Dhoedt Information Sciences 238, 52-74, 2013 | 44 | 2013 |
Martine De CockProfessor, University of Washington Tacomauw.edu의 이메일 확인됨
