| Complex embeddings for simple link prediction T Trouillon, J Welbl, S Riedel, É Gaussier, G Bouchard International Conference on Machine Learning, 2071-2080, 2016 | 790 | 2016 |
| Constructing datasets for multi-hop reading comprehension across documents J Welbl, P Stenetorp, S Riedel Transactions of the Association for Computational Linguistics 6, 287-302, 2018 | 211 | 2018 |
| Knowledge graph completion via complex tensor factorization T Trouillon, CR Dance, J Welbl, S Riedel, É Gaussier, G Bouchard arXiv preprint arXiv:1702.06879, 2017 | 109 | 2017 |
| Frustratingly short attention spans in neural language modeling M Daniluk, T Rocktäschel, J Welbl, S Riedel arXiv preprint arXiv:1702.04521, 2017 | 81 | 2017 |
| Neural random forests G Biau, E Scornet, J Welbl Sankhya A 81 (2), 347-386, 2019 | 55 | 2019 |
| Crowdsourcing multiple choice science questions J Welbl, NF Liu, M Gardner arXiv preprint arXiv:1707.06209, 2017 | 46 | 2017 |
| Ucl machine reading group: Four factor framework for fact finding (hexaf) T Yoneda, J Mitchell, J Welbl, P Stenetorp, S Riedel Proceedings of the First Workshop on Fact Extraction and VERification (FEVER …, 2018 | 41 | 2018 |
| Achieving verified robustness to symbol substitutions via interval bound propagation PS Huang, R Stanforth, J Welbl, C Dyer, D Yogatama, S Gowal, ... arXiv preprint arXiv:1909.01492, 2019 | 37 | 2019 |
| Casting random forests as artificial neural networks (and profiting from it) J Welbl German Conference on Pattern Recognition, 765-771, 2014 | 30 | 2014 |
| Reducing sentiment bias in language models via counterfactual evaluation PS Huang, H Zhang, R Jiang, R Stanforth, J Welbl, J Rae, V Maini, ... arXiv preprint arXiv:1911.03064, 2019 | 12 | 2019 |
| Jack the reader-A machine reading framework D Weissenborn, P Minervini, T Dettmers, I Augenstein, J Welbl, ... arXiv preprint arXiv:1806.08727, 2018 | 6 | 2018 |
| A factorization machine framework for testing bigram embeddings in knowledgebase completion J Welbl, G Bouchard, S Riedel arXiv preprint arXiv:1604.05878, 2016 | 6 | 2016 |
| Beat the AI: Investigating adversarial human annotation for reading comprehension M Bartolo, A Roberts, J Welbl, S Riedel, P Stenetorp Transactions of the Association for Computational Linguistics 8, 662-678, 2020 | 5 | 2020 |
| Making sense of sensory input R Evans, J Hernández-Orallo, J Welbl, P Kohli, M Sergot Artificial Intelligence, 103438, 2019 | 5 | 2019 |
| Event detection by feature unpredictability in phase-contrast videos of cell cultures M Kandemir, JC Rubio, U Schmidt, C Wojek, J Welbl, B Ommer, ... International Conference on Medical Image Computing and Computer-Assisted …, 2014 | 4 | 2014 |
| Evaluating the Apperception Engine R Evans, J Hernandez-Orallo, J Welbl, P Kohli, M Sergot arXiv preprint arXiv:2007.05367, 2020 | 3 | 2020 |
| Undersensitivity in neural reading comprehension J Welbl, P Minervini, M Bartolo, P Stenetorp, S Riedel arXiv preprint arXiv:2003.04808, 2020 | 3 | 2020 |
| Towards Verified Robustness under Text Deletion Interventions J Welbl, PS Huang, R Stanforth, S Gowal, KD Dvijotham, M Szummer, ... International Conference on Learning Representations, 2019 | 1 | 2019 |
| Training Datasets for Machine Reading Comprehension and Their Limitations J Welbl UCL (University College London), 2020 | | 2020 |
| Proceedings of the 5th Workshop on Representation Learning for NLP S Gella, J Welbl, M Rei, F Petroni, P Lewis, E Strubell, M Seo, H Hajishirzi Proceedings of the 5th Workshop on Representation Learning for NLP, 2020 | | 2020 |
Sebastian RiedelProfessor @ University College London, Researcher @ Facebook AI ResearchVerified email at cs.ucl.ac.uk
