| An empirical study of incorporating pseudo data into grammatical error correction S Kiyono, J Suzuki, M Mita, T Mizumoto, K Inui arXiv preprint arXiv:1909.00502, 2019 | 39 | 2019 |
| 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 | 27 | 2020 |
| Encoder-decoder models can benefit from pre-trained masked language models in grammatical error correction M Kaneko, M Mita, S Kiyono, J Suzuki, K Inui arXiv preprint arXiv:2005.00987, 2020 | 17 | 2020 |
| Effective adversarial regularization for neural machine translation M Sato, J Suzuki, S Kiyono Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 10 | 2019 |
| Source-side prediction for neural headline generation S Kiyono, S Takase, J Suzuki, N Okazaki, K Inui, M Nagata arXiv preprint arXiv:1712.08302, 2017 | 10 | 2017 |
| Mixture of expert/imitator networks: Scalable semi-supervised learning framework S Kiyono, J Suzuki, K Inui Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4073-4081, 2019 | 5 | 2019 |
| Unsupervised token-wise alignment to improve interpretation of encoder-decoder models S Kiyono, S Takase, J Suzuki, N Okazaki, K Inui, M Nagata Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018 | 4 | 2018 |
| Tohoku-AIP-NTT at WMT 2020 News Translation Task S Kiyono, T Ito, R Konno, M Morishita, J Suzuki Proceedings of the Fifth Conference on Machine Translation, 145-155, 2020 | 1 | 2020 |
| Massive Exploration of Pseudo Data for Grammatical Error Correction S Kiyono, J Suzuki, T Mizumoto, K Inui IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2134-2145, 2020 | 1 | 2020 |
| Reducing Odd Generation from Neural Headline Generation. S Kiyono, S Takase, J Suzuki, N Okazaki, K Inui, M Nagata PACLIC, 2018 | 1 | 2018 |
| Rethinking Perturbations in Encoder-Decoders for Fast Training S Takase, S Kiyono arXiv preprint arXiv:2104.01853, 2021 | | 2021 |
| An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution R Konno, Y Matsubayashi, S Kiyono, H Ouchi, R Takahashi, K Inui arXiv preprint arXiv:2011.00948, 2020 | | 2020 |
| A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction M Mita, S Kiyono, M Kaneko, J Suzuki, K Inui arXiv preprint arXiv:2010.03155, 2020 | | 2020 |
| Riposte! A Large Corpus of Counter-Arguments P Reisert, B Heinzerling, N Inoue, S Kiyono, K Inui arXiv preprint arXiv:1910.03246, 2019 | | 2019 |
| Mixture of Expert/Imitator Networks for Large-scale Semi-supervised Learning S Kiyono | | 2019 |
| Analysis of Tense Information for Discourse Relationship Recognition S Kiyono, R Tian, K Watanabe, N Okazaki, K Inui Proceedings of the 23rd Annual Meeting of the Association for Natural …, 2017 | | 2017 |
