| Semi-supervised sequence tagging with bidirectional language models ME Peters, W Ammar, C Bhagavatula, R Power arXiv preprint arXiv:1705.00108, 2017 | 398 | 2017 |
| Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017 | 346* | 2017 |
| Massively Multilingual Word Embeddings W Ammar, G Mulcaire, Y Tsvetkov, G Lample, C Dyer, NA Smith arXiv preprint arXiv:1602.01595, 2016 | 233 | 2016 |
| Many languages, one parser W Ammar, G Mulcaire, M Ballesteros, C Dyer, NA Smith Transactions of the Association for Computational Linguistics 4, 431-444, 2016 | 178 | 2016 |
| Construction of the literature graph in semantic scholar W Ammar, D Groeneveld, C Bhagavatula, I Beltagy, M Crawford, ... arXiv preprint arXiv:1805.02262, 2018 | 127 | 2018 |
| Scispacy: Fast and robust models for biomedical natural language processing M Neumann, D King, I Beltagy, W Ammar arXiv preprint arXiv:1902.07669, 2019 | 112 | 2019 |
| Automatic scoring of online discussion posts N Wanas, M El-Saban, H Ashour, W Ammar Proceedings of the 2nd ACM workshop on Information credibility on the web, 19-26, 2008 | 87 | 2008 |
| Conditional random field autoencoders for unsupervised structured prediction W Ammar, C Dyer, NA Smith Advances in Neural Information Processing Systems 27, 3311-3319, 2014 | 72 | 2014 |
| Unsupervised POS induction with word embeddings CC Lin, W Ammar, C Dyer, L Levin arXiv preprint arXiv:1503.06760, 2015 | 66 | 2015 |
| A dataset of peer reviews (peerread): Collection, insights and nlp applications D Kang, W Ammar, B Dalvi, M van Zuylen, S Kohlmeier, E Hovy, ... arXiv preprint arXiv:1804.09635, 2018 | 61 | 2018 |
| Content-based citation recommendation C Bhagavatula, S Feldman, R Power, W Ammar arXiv preprint arXiv:1802.08301, 2018 | 57 | 2018 |
| User evaluation in a collaborative online forum NM Wanas, HM Ashour, MM El Baradei, AA Morsy, MA El-Saban, ... US Patent 8,893,024, 2014 | 46 | 2014 |
| The ai2 system at semeval-2017 task 10 (scienceie): semi-supervised end-to-end entity and relation extraction W Ammar, M Peters, C Bhagavatula, R Power Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 42 | 2017 |
| Extracting scientific figures with distantly supervised neural networks N Siegel, N Lourie, R Power, W Ammar Proceedings of the 18th ACM/IEEE on joint conference on digital libraries …, 2018 | 38 | 2018 |
| Automatic categorization of privacy policies: A pilot study W Ammar, S Wilson, N Sadeh, NA Smith School of Computer Science, Language Technology Institute, Technical Report …, 2012 | 32 | 2012 |
| Structural scaffolds for citation intent classification in scientific publications A Cohan, W Ammar, M Van Zuylen, F Cady arXiv preprint arXiv:1904.01608, 2019 | 31 | 2019 |
| Ontology-aware token embeddings for prepositional phrase attachment P Dasigi, W Ammar, C Dyer, E Hovy arXiv preprint arXiv:1705.02925, 2017 | 26 | 2017 |
| Quantifying sex bias in clinical studies at scale with automated data extraction S Feldman, W Ammar, K Lo, E Trepman, M van Zuylen, O Etzioni JAMA network open 2 (7), e196700-e196700, 2019 | 25 | 2019 |
| Transliteration by Sequence Labeling with Lattice Encodings and Reranking W Ammar, C Dyer, NA Smith The 4th Named Entities Workshop (NEWS) 2012 at ACL, 2012 | 24 | 2012 |
| Improved Transliteration Mining Using Graph Reinforcement A El-Kahky, K Darwish, AS Aldein, MA El-Wahab, A Hefny, W Ammar | 23 | 2011 |
Chris DyerDeepMind, Carnegie MellonAdresse e-mail validée de google.com
