| Online large-margin training for statistical machine translation T Watanabe, J Suzuki, H Tsukada, H Isozaki Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007 | 228 | 2007 |
| Semi-supervised sequential labeling and segmentation using giga-word scale unlabeled data J Suzuki, H Isozaki Proceedings of ACL-08: HLT, 665-673, 2008 | 190 | 2008 |
| Neural headline generation on abstract meaning representation S Takase, J Suzuki, N Okazaki, T Hirao, M Nagata Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 153 | 2016 |
| Interpretable adversarial perturbation in input embedding space for text M Sato, J Suzuki, H Shindo, Y Matsumoto arXiv preprint arXiv:1805.02917, 2018 | 112 | 2018 |
| An empirical study of semi-supervised structured conditional models for dependency parsing J Suzuki, H Isozaki, X Carreras Pérez, M Collins Conference on Empirical Methods in Natural Language Processing 2009, 551-560, 2009 | 111 | 2009 |
| Question classification using HDAG kernel J Suzuki, H Taira, Y Sasaki, E Maeda Proceedings of the ACL 2003 workshop on Multilingual summarization and …, 2003 | 91 | 2003 |
| 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 | 90 | 2019 |
| Hierarchical directed acyclic graph kernel: Methods for structured natural language data J Suzuki, T Hirao, Y Sasaki, E Maeda Proceedings of the 41st Annual Meeting of the Association for Computational …, 2003 | 89 | 2003 |
| SVM answer selection for open-domain question answering J Suzuki, Y Sasaki, E Maeda COLING 2002: The 19th International Conference on Computational Linguistics, 2002 | 80 | 2002 |
| Dependency-based discourse parser for single-document summarization Y Yoshida, J Suzuki, T Hirao, M Nagata Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 77 | 2014 |
| Cutting-off redundant repeating generations for neural abstractive summarization J Suzuki, M Nagata arXiv preprint arXiv:1701.00138, 2016 | 75* | 2016 |
| Structural modeling of the value of patent J Suzuki Research Policy 40 (7), 986-1000, 2011 | 72 | 2011 |
| 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 | 64 | 2020 |
| Semiconductor device and method for fabricating the same J Suzuki, T Sakurai US Patent App. 13/397,890, 2012 | 64 | 2012 |
| Multi-label text categorization with model combination based on f1-score maximization A Fujino, H Isozaki, J Suzuki Proceedings of the Third International Joint Conference on Natural Language …, 2008 | 61 | 2008 |
| Training conditional random fields with multivariate evaluation measures J Suzuki, E McDermott, H Isozaki Proceedings of the 21st International Conference on Computational …, 2006 | 61 | 2006 |
| Boosting-based parse reranking with subtree features T Kudo, J Suzuki, H Isozaki Proceedings of the 43rd Annual Meeting of the Association for Computational …, 2005 | 57 | 2005 |
| Raoultella ornithinolytica bacteremia in cancer patients: report of three cases Y Hadano, M Tsukahara, K Ito, J Suzuki, I Kawamura, H Kurai Internal Medicine 51 (22), 3193-3195, 2012 | 55 | 2012 |
| Phylogenetic relationships of rat lungworm, Angiostrongylus cantonensis, isolated from different geographical regions revealed widespread multiple lineages T Tokiwa, T Harunari, T Tanikawa, N Komatsu, N Koizumi, KC Tung, ... Parasitology International 61 (3), 431-436, 2012 | 53 | 2012 |
| Semi-supervised structured output learning based on a hybrid generative and discriminative approach J Suzuki, A Fujino, H Isozaki Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007 | 49 | 2007 |
Kentaro InuiTohoku University確認したメール アドレス: ecei.tohoku.ac.jp
