| BRAT: a Web-based Tool for NLP-Assisted Text Annotation P Stenetorp, S Pyysalo, G Topić, T Ohta, S Ananiadou, J Tsujii 13th Conference of the European Chapter of the Association for Computational …, 2012 | 938 | 2012 |
| Convolutional 2D Knowledge Graph Embeddings T Dettmers, P Minervini, P Stenetorp, S Riedel Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 571 | 2018 |
| 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 |
| Neural Architectures for Fine-grained Entity Type Classification S Shimaoka, P Stenetorp, K Inui, S Riedel arXiv preprint arXiv:1606.01341, 2016 | 84 | 2016 |
| An Attentive Neural Architecture for Fine-grained Entity Type Classification S Shimaoka, P Stenetorp, K Inui, S Riedel arXiv preprint arXiv:1604.05525, 2016 | 62 | 2016 |
| Task-Oriented Learning of Word Embeddings for Semantic Relation Classification K Hashimoto, P Stenetorp, M Miwa, Y Tsuruoka arXiv preprint arXiv:1503.00095, 2015 | 58 | 2015 |
| BioNLP Shared Task 2011: Supporting Resources P Stenetorp, T Goran, P Sampo, O Tomoko, K Jin-Dong, J Tsujii BioNLP 2011 Workshop, 112–120, 2011 | 50* | 2011 |
| BioNLP shared task 2013: supporting resources P Stenetorp, W Golik, T Hamon, DC Comeau, RI Dogan, H Liu, WJ Wilbur Proceedings of the BioNLP Shared Task 2013 Workshop. Association for …, 2013 | 44 | 2013 |
| 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 |
| Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures K Hashimoto, P Stenetorp, M Miwa, Y Tsuruoka Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 38 | 2014 |
| Transition-based Dependency Parsing Using Recursive Neural Networks P Stenetorp Deep Learning Workshop at NIPS 2013, 2013 | 38 | 2013 |
| Leveraging Monolingual Data for Crosslingual Compositional Word Representations H Soyer, P Stenetorp, A Aizawa arXiv preprint arXiv:1412.6334, 2014 | 32 | 2014 |
| Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection S Kasewa, P Stenetorp, S Riedel arXiv preprint arXiv:1810.00668, 2018 | 30 | 2018 |
| Size (and Domain) Matters: Evaluating Semantic Word Space Representations for Biomedical Text P Stenetorp, H Soyer, S Pyysalo, S Ananiadou, T Chikayama 5th International Symposium on Semantic Mining in Biomedicine, 42-49, 2012 | 24 | 2012 |
| On the Importance of Strong Baselines in Bayesian Deep Learning J Mukhoti, P Stenetorp, Y Gal arXiv preprint arXiv:1811.09385, 2018 | 16 | 2018 |
| Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. S Sugawara, P Stenetorp, K Inui, A Aizawa AAAI, 8918-8927, 2020 | 14 | 2020 |
| Extrapolation in NLP J Mitchell, P Minervini, P Stenetorp, S Riedel arXiv preprint arXiv:1805.06648, 2018 | 12 | 2018 |
| Automated Extraction of Swedish Neologisms Using a Temporally Annotated Corpus P Stenetorp Royal Institute of Technology (KTH), 2010 | 12 | 2010 |
| Sharing annotations better: RESTful Open Annotation S Pyysalo, J Campos, JM Cejuela, F Ginter, K Hakala, C Li, P Stenetorp, ... ACL-IJCNLP 2015, 91, 2015 | 9 | 2015 |
| On Machine Learning and Programming Languages M Innes, S Karpinski, V Shah, D Barber, P Stenetorp, T Besard, ... | 7 | 2018 |
Sebastian RiedelProfessor @ University College London, Researcher @ Facebook AI ResearchVerified email at cs.ucl.ac.uk
