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 | 443 | 2015 |
Graph-to-sequence learning using gated graph neural networks D Beck, G Haffari, T Cohn arXiv preprint arXiv:1806.09835, 2018 | 401 | 2018 |
Iterative back-translation for neural machine translation CDV Hoang, P Koehn, G Haffari, T Cohn 2nd Workshop on Neural Machine Translation and Generation, 18-24, 2018 | 342 | 2018 |
Learning how to active learn: A deep reinforcement learning approach M Fang, Y Li, T Cohn arXiv preprint arXiv:1708.02383, 2017 | 334 | 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 | 273 | 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 | 256 | 2013 |
Sentence compression beyond word deletion T Cohn, M Lapata Proceedings of the 22nd international conference on computational …, 2008 | 222 | 2008 |
Tangled up in BLEU: Reevaluating the evaluation of automatic machine translation evaluation metrics N Mathur, T Baldwin, T Cohn arXiv preprint arXiv:2006.06264, 2020 | 212 | 2020 |
Massively multilingual transfer for NER A Rahimi, Y Li, T Cohn arXiv preprint arXiv:1902.00193, 2019 | 205 | 2019 |
Sentence compression as tree transduction TA Cohn, M Lapata Journal of Artificial Intelligence Research 34, 637-674, 2009 | 200 | 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 | 197 | 2016 |
Semi-supervised user geolocation via graph convolutional networks A Rahimi, T Cohn, T Baldwin arXiv preprint arXiv:1804.08049, 2018 | 194 | 2018 |
Towards robust and privacy-preserving text representations Y Li, T Baldwin, T Cohn arXiv preprint arXiv:1805.06093, 2018 | 192 | 2018 |
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 | 184 | 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 | 181 | 2017 |
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 54th Annual Meeting of the Association for Computational …, 2016 | 180 | 2016 |
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 | 172 | 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 | 170 | 2015 |
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 | 170 | 2013 |
Discriminative word alignment with conditional random fields P Blunsom, T Cohn Proceedings of the 21st International Conference on Computational …, 2006 | 168 | 2006 |