Shun Kiyono
Shun Kiyono
RIKEN AIP, Tohoku University
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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
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
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
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
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
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
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
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
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
Reducing Odd Generation from Neural Headline Generation.
S Kiyono, S Takase, J Suzuki, N Okazaki, K Inui, M Nagata
PACLIC, 2018
Rethinking Perturbations in Encoder-Decoders for Fast Training
S Takase, S Kiyono
arXiv preprint arXiv:2104.01853, 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
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
Riposte! A Large Corpus of Counter-Arguments
P Reisert, B Heinzerling, N Inoue, S Kiyono, K Inui
arXiv preprint arXiv:1910.03246, 2019
Mixture of Expert/Imitator Networks for Large-scale Semi-supervised Learning
S Kiyono
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
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