| Low resource dependency parsing: Cross-lingual parameter sharing in a neural network parser L Duong, T Cohn, S Bird, P Cook Proceedings of the 53rd annual meeting of the Association for Computational …, 2015 | 293 | 2015 |
| Graph-to-sequence learning using gated graph neural networks D Beck, G Haffari, T Cohn arXiv preprint arXiv:1806.09835, 2018 | 261 | 2018 |
| Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017 | 238 | 2017 |
| Iterative back-translation for neural machine translation VCD Hoang, P Koehn, G Haffari, T Cohn Proceedings of the 2nd workshop on neural machine translation and generation …, 2018 | 211 | 2018 |
| Learning how to active learn: A deep reinforcement learning approach M Fang, Y Li, T Cohn arXiv preprint arXiv:1708.02383, 2017 | 209 | 2017 |
| QuEst-A translation quality estimation framework L Specia, K Shah, JGC De Souza, T Cohn Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 207 | 2013 |
| Sentence compression beyond word deletion T Cohn, M Lapata Proceedings of the 22nd International Conference on Computational …, 2008 | 201 | 2008 |
| Sentence compression as tree transduction TA Cohn, M Lapata Journal of Artificial Intelligence Research 34, 637-674, 2009 | 184 | 2009 |
| Incorporating structural alignment biases into an attentional neural translation model T Cohn, CDV Hoang, E Vymolova, K Yao, C Dyer, G Haffari arXiv preprint arXiv:1601.01085, 2016 | 170 | 2016 |
| Machine translation by triangulation: Making effective use of multi-parallel corpora T Cohn, M Lapata Proceedings of the 45th Annual Meeting of the Association of Computational …, 2007 | 170 | 2007 |
| Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, and Pengcheng Yin. 2017. Dynet … G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 84, 2017 | 167 | 2017 |
| Discriminative word alignment with conditional random fields P Blunsom, T Cohn Proceedings of the 21st International Conference on Computational …, 2006 | 162 | 2006 |
| Where's@ wally? a classification approach to geolocating users based on their social ties D Rout, K Bontcheva, D Preoţiuc-Pietro, T Cohn Proceedings of the 24th ACM Conference on Hypertext and Social Media, 11-20, 2013 | 157 | 2013 |
| Semantic role labelling with tree conditional random fields T Cohn, P Blunsom Proceedings of the Ninth Conference on Computational Natural Language …, 2005 | 152 | 2005 |
| A discriminative latent variable model for statistical machine translation P Blunsom, T Cohn, M Osborne Proceedings of ACL-08: HLT, 200-208, 2008 | 142 | 2008 |
| Hawkes processes for continuous time sequence classification: an application to rumour stance classification in twitter M Lukasik, PK Srijith, D Vu, K Bontcheva, A Zubiaga, T Cohn Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 139 | 2016 |
| Take and took, gaggle and goose, book and read: Evaluating the utility of vector differences for lexical relation learning E Vylomova, L Rimell, T Cohn, T Baldwin arXiv preprint arXiv:1509.01692, 2015 | 138 | 2015 |
| Semi-supervised user geolocation via graph convolutional networks A Rahimi, T Cohn, T Baldwin arXiv preprint arXiv:1804.08049, 2018 | 137 | 2018 |
| An attentional model for speech translation without transcription L Duong, A Anastasopoulos, D Chiang, S Bird, T Cohn Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 125 | 2016 |
| Inducing tree-substitution grammars T Cohn, P Blunsom, S Goldwater The Journal of Machine Learning Research 11, 3053-3096, 2010 | 121 | 2010 |
Timothy BaldwinMBZUAI and The University of Melbourne確認したメール アドレス: unimelb.edu.au
