The importance of being recurrent for modeling hierarchical structure K Tran, A Bisazza, C Monz EMNLP, 2018 | 174 | 2018 |
Recurrent memory networks for language modeling K Tran, A Bisazza, C Monz NAACL, 2016 | 141 | 2016 |
Unsupervised neural hidden markov models K Tran, Y Bisk, A Vaswani, D Marcu, K Knight Structured Prediction for Natural Language Processing Workshop, EMNLP, 2016 | 70 | 2016 |
A dataset and evaluation metrics for abstractive compression of sentences and short paragraphs K Toutanova, C Brockett, KM Tran, S Amershi EMNLP, 2016 | 61 | 2016 |
Making readability indices readable S Tonelli, KM Tran, E Pianta Proceedings of the First Workshop on Predicting and Improving Text …, 2012 | 58 | 2012 |
From english to foreign languages: Transferring pre-trained language models K Tran arXiv preprint arXiv:2002.07306, 2020 | 34 | 2020 |
Inducing grammars with and for neural machine translation K Tran, Y Bisk WNMT, ACL, 2018 | 32* | 2018 |
Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations K Tran, A Bisazza DeepLo, EMNLP, 2019 | 28 | 2019 |
Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks KM Tran, A Bisazza, C Monz EMNLP, 1676--1688, 2014 | 21 | 2014 |
Sockeye 3: Fast neural machine translation with pytorch F Hieber, M Denkowski, T Domhan, BD Barros, CD Ye, X Niu, C Hoang, ... arXiv preprint arXiv:2207.05851, 2022 | 12 | 2022 |
The devil is in the details: on the pitfalls of vocabulary selection in neural machine translation T Domhan, E Hasler, K Tran, S Trenous, B Byrne, F Hieber arXiv preprint arXiv:2205.06618, 2022 | 7 | 2022 |
Improving the quality trade-off for neural machine translation multi-domain adaptation E Hasler, T Domhan, J Trenous, KM Tran, B Byrne, F Hieber Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 6 | 2021 |
Generating synthetic data for task-oriented semantic parsing with hierarchical representations K Tran, M Tan arXiv preprint arXiv:2011.02050, 2020 | 4 | 2020 |
Examining cooperation in visual dialog models M Mironenco, D Kianfar, K Tran, E Kanoulas, E Gavves ViGIL, NIPS, 2017 | 3 | 2017 |
A Distributed Inflection Model for Translating into Morphologically Rich Languages K Tran, A Bisazza, C Monz MT Summit, 145-159, 2015 | 2 | 2015 |
A hybrid approach to cross-lingual product review summarization S Soltan, V Soto, KM Tran, W Hamza Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | | 2022 |
Predicting and discovering linguistic structure with neural networks K Tran Doctoral Thesis, 2018 | | 2018 |
Unsupervised and Semi-Supervised Multilingual Learning for Resource-Poor Languages K Tran Univerzita Karlova, Matematicko-fyzikální fakulta, 2012 | | 2012 |
Revision Rules Combine with MST Method for Vietnamese Dependency Parsing TD Hoang, K Tran, LM Nguyen | | 2008 |