| Representation learning using multi-task deep neural networks for semantic classification and information retrieval X Liu, J Gao, X He, L Deng, K Duh, YY Wang | 504 | 2015 |
| Automatic evaluation of translation quality for distant language pairs H Isozaki, T Hirao, K Duh, K Sudoh, H Tsukada Proceedings of the 2010 conference on empirical methods in natural language …, 2010 | 461 | 2010 |
| Compressing bert: Studying the effects of weight pruning on transfer learning MA Gordon, K Duh, N Andrews arXiv preprint arXiv:2002.08307, 2020 | 371 | 2020 |
| Record: Bridging the gap between human and machine commonsense reading comprehension S Zhang, X Liu, J Liu, J Gao, K Duh, B Van Durme arXiv preprint arXiv:1810.12885, 2018 | 278 | 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 | 278 | 2017 |
| Stochastic answer networks for machine reading comprehension X Liu, Y Shen, K Duh, J Gao arXiv preprint arXiv:1712.03556, 2017 | 242 | 2017 |
| AMR parsing as sequence-to-graph transduction S Zhang, X Ma, K Duh, B Van Durme arXiv preprint arXiv:1905.08704, 2019 | 194 | 2019 |
| 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 | 184 | 2017 |
| ESPnet-ST: All-in-one speech translation toolkit H Inaguma, S Kiyono, K Duh, S Karita, NEY Soplin, T Hayashi, ... arXiv preprint arXiv:2004.10234, 2020 | 174 | 2020 |
| A framework for analyzing semantic change of words across time A Jatowt, K Duh IEEE/ACM joint conference on digital libraries, 229-238, 2014 | 165 | 2014 |
| Overcoming catastrophic forgetting during domain adaptation of neural machine translation B Thompson, J Gwinnup, H Khayrallah, K Duh, P Koehn 2019 Annual Conference of the North American Chapter of the Association for …, 2019 | 146 | 2019 |
| Curriculum learning for domain adaptation in neural machine translation X Zhang, P Shapiro, G Kumar, P McNamee, M Carpuat, K Duh arXiv preprint arXiv:1905.05816, 2019 | 145 | 2019 |
| Morphology-based language modeling for conversational Arabic speech recognition K Kirchhoff, D Vergyri, J Bilmes, K Duh, A Stolcke Computer Speech & Language 20 (4), 589-608, 2006 | 145 | 2006 |
| Learning to rank with partially-labeled data K Duh, K Kirchhoff Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 137 | 2008 |
| Head finalization: A simple reordering rule for SOV languages H Isozaki, K Sudoh, H Tsukada, K Duh Proceedings of the Joint Fifth Workshop on Statistical Machine Translation …, 2010 | 136 | 2010 |
| Morphology-based language modeling for arabic speech recognition. D Vergyri, K Kirchhoff, K Duh, A Stolcke INTERSPEECH 4, 2245-2248, 2004 | 136 | 2004 |
| Very deep transformers for neural machine translation X Liu, K Duh, L Liu, J Gao arXiv preprint arXiv:2008.07772, 2020 | 134 | 2020 |
| Adaptation data selection using neural language models: Experiments in machine translation K Duh, G Neubig, K Sudoh, H Tsukada Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 132 | 2013 |
| Ordinal common-sense inference S Zhang, R Rudinger, K Duh, B Van Durme Transactions of the Association for Computational Linguistics 5, 379-395, 2017 | 130 | 2017 |
| Membership inference attacks on sequence-to-sequence models: Is my data in your machine translation system? S Hisamoto, M Post, K Duh Transactions of the Association for Computational Linguistics 8, 49-63, 2020 | 129 | 2020 |
Yuji MatsumotoTeam Leader, RIKEN Center for Advanced Intelligence Project在 is.naist.jp 的電子郵件地址已通過驗證
