Trevor Cohn
Title
Cited by
Cited by
Year
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
2172015
Dynet: The dynamic neural network toolkit
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...
arXiv preprint arXiv:1701.03980, 2017
2162017
Graph-to-sequence learning using gated graph neural networks
D Beck, G Haffari, T Cohn
arXiv preprint arXiv:1806.09835, 2018
1932018
Sentence compression beyond word deletion
T Cohn, M Lapata
Proceedings of the 22nd International Conference on Computational …, 2008
1932008
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
1862013
Sentence compression as tree transduction
TA Cohn, M Lapata
Journal of Artificial Intelligence Research 34, 637-674, 2009
1712009
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
1622007
Discriminative word alignment with conditional random fields
P Blunsom, T Cohn
Proceedings of the 21st International Conference on Computational …, 2006
1602006
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
1592018
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
1592017
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
1592016
Learning how to active learn: A deep reinforcement learning approach
M Fang, Y Li, T Cohn
arXiv preprint arXiv:1708.02383, 2017
1582017
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
1532013
Semantic role labelling with tree conditional random fields
T Cohn, P Blunsom
1492005
A discriminative latent variable model for statistical machine translation
P Blunsom, T Cohn, M Osborne
Proceedings of ACL-08: HLT, 200-208, 2008
1372008
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
1222015
A Gibbs sampler for phrasal synchronous grammar induction
P Blunsom, T Cohn, C Dyer, M Osborne
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009
1152009
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
1122016
Inducing tree-substitution grammars
T Cohn, P Blunsom, S Goldwater
The Journal of Machine Learning Research 11, 3053-3096, 2010
1122010
Learning crosslingual word embeddings without bilingual corpora
L Duong, H Kanayama, T Ma, S Bird, T Cohn
arXiv preprint arXiv:1606.09403, 2016
1102016
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Articles 1–20