| 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 | 475 | 2015 |
| Graph-to-sequence learning using gated graph neural networks D Beck, G Haffari, T Cohn arXiv preprint arXiv:1806.09835, 2018 | 428 | 2018 |
| Learning how to active learn: A deep reinforcement learning approach M Fang, Y Li, T Cohn arXiv preprint arXiv:1708.02383, 2017 | 382 | 2017 |
| 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 | 363 | 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 | 277 | 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 | 269 | 2013 |
| 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 | 262 | 2020 |
| Proceedings of the 2020 conference on empirical methods in natural language processing (emnlp) B Webber, T Cohn, Y He, Y Liu Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 232 | 2020 |
| Massively multilingual transfer for NER A Rahimi, Y Li, T Cohn arXiv preprint arXiv:1902.00193, 2019 | 227 | 2019 |
| Sentence compression beyond word deletion T Cohn, M Lapata Proceedings of the 22nd international conference on computational …, 2008 | 227 | 2008 |
| Towards robust and privacy-preserving text representations Y Li, T Baldwin, T Cohn arXiv preprint arXiv:1805.06093, 2018 | 218 | 2018 |
| Semi-supervised user geolocation via graph convolutional networks A Rahimi, T Cohn, T Baldwin arXiv preprint arXiv:1804.08049, 2018 | 210 | 2018 |
| Sentence compression as tree transduction TA Cohn, M Lapata Journal of Artificial Intelligence Research 34, 637-674, 2009 | 206 | 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 | 200 | 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 | 191 | 2015 |
| Machine translation by triangulation: Making effective use of multi-parallel corpora T Cohn, M Lapata ACL 2007, Proceedings of the 45th Annual Meeting of the Association for …, 2007 | 190 | 2007 |
| 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 | 185 | 2016 |
| 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 | 183 | 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 the 54th annual meeting of the association for computational …, 2016 | 182 | 2016 |
| Cross-lingual word embeddings for low-resource language modeling O Adams, A Makarucha, G Neubig, S Bird, T Cohn Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 181 | 2017 |
Timothy BaldwinMBZUAI and The University of Melbourneunimelb.edu.au의 이메일 확인됨
