| Knowledge distillation for multilingual unsupervised neural machine translation H Sun, R Wang, K Chen, M Utiyama, E Sumita, T Zhao ACL, 2020 | 51 | 2020 |
| Unsupervised bilingual word embedding agreement for unsupervised neural machine translation H Sun, R Wang, K Chen, M Utiyama, E Sumita, T Zhao ACL, 2019 | 40 | 2019 |
| Unsupervised neural machine translation with cross-lingual language representation agreement H Sun, R Wang, K Chen, M Utiyama, E Sumita, T Zhao IEEE/ACM TASLP, 2020 | 26 | 2020 |
| NICT’s unsupervised neural and statistical machine translation systems for the WMT19 news translation task B Marie, H Sun, R Wang, K Chen, A Fujita, M Utiyama, E Sumita WMT, 2019 | 26 | 2019 |
| BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented Dialog H Sun, J Bao, Y Wu, X He NAACL-Findings, 2022 | 24 | 2022 |
| Mars: Modeling Context & State Representations with Contrastive Learning for End-to-End Task-Oriented Dialog H Sun, J Bao, Y Wu, X He ACL-Findings, 2023 | 15* | 2023 |
| Unsupervised neural machine translation for similar and distant language pairs: An empirical study H Sun, R Wang, M Utiyama, B Marie, K Chen, E Sumita, T Zhao ACM TALLIP, 2021 | 15 | 2021 |
| OPERA: Operation-Pivoted Discrete Reasoning over Text Y Zhou, J Bao, C Duan, H Sun, J Liang, Y Wang, J Zhao, Y Wu, X He, ... NAACL, 2022 | 14 | 2022 |
| Robust unsupervised neural machine translation with adversarial denoising training H Sun, R Wang, K Chen, X Lu, M Utiyama, E Sumita, T Zhao COLING, 2020 | 10* | 2020 |
| Self-training for unsupervised neural machine translation in unbalanced training data scenarios H Sun, R Wang, K Chen, M Utiyama, E Sumita, T Zhao NAACL, 2021 | 9 | 2021 |
| MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking H Zhang, J Bao, H Sun, Y Wu, W Li, S Cui, X He ACL-Findings, 2023 | 6 | 2023 |
| EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension Y Zhou, J Bao, H Sun, J Liang, Y Wu, X He, B Zhou, T Zhao NLPCC, 2021 | 6 | 2021 |
| English-Myanmar Supervised and Unsupervised NMT: NICT’s Machine Translation Systems at WAT-2019 R Wang, H Sun, K Chen, C Ding, M Utiyama, E Sumita WAT, 2019 | 4 | 2019 |
| An empirical study of domain adaptation for unsupervised neural machine translation H Sun, R Wang, K Chen, M Utiyama, E Sumita, T Zhao arXiv preprint arXiv:1908.09605, 2019 | 4 | 2019 |
| Neural network-based reranking model for statistical machine translation H Sun, T Zhao FSKD, 2014 | 3 | 2014 |
| CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking H Zhang, J Bao, H Sun, H Luo, W Li, S Cui AACL, 2022 | 2 | 2022 |
| 无监督神经机器翻译综述 孙海鹏， 赵铁军 智能计算机与应用 11 (2), 1-6, 2021 | 1 | 2021 |
| 无监督神经机器翻译研究 孙海鹏 哈尔滨工业大学, 2020 | | 2020 |
| A Survey of Advances and Challenges in Unsupervised Neural Machine Translation R Wang, H Sun, M Utiyama, E Sumita | | 2020 |
| Bilingual Word Embedding: A Survey from Supervised to Unsupervised H Sun, R Wang, K Chen, M Utiyama, E Sumita, T Zhao | | 2019 |
Masao UtiyamaNICT在 nict.go.jp 的电子邮件经过验证
