| Gender-preserving debiasing for pre-trained word embeddings M Kaneko, D Bollegala arXiv preprint arXiv:1906.00742, 2019 | 66 | 2019 |
| 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 |
| Grammatical Error Detection Using Error-and Grammaticality-Specific Word Embeddings M Kaneko, Y Sakaizawa, M Komachi Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 28 | 2017 |
| Multi-head multi-layer attention to deep language representations for grammatical error detection M Kaneko, M Komachi Computación y Sistemas 23 (3), 883-891, 2019 | 19 | 2019 |
| Debiasing pre-trained contextualised embeddings M Kaneko, D Bollegala arXiv preprint arXiv:2101.09523, 2021 | 17 | 2021 |
| Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models---Is Single-Corpus Evaluation Enough? M Mita, T Mizumoto, M Kaneko, R Nagata, K Inui arXiv preprint arXiv:1904.02927, 2019 | 15 | 2019 |
| TMU transformer system using BERT for re-ranking at BEA 2019 grammatical error correction on restricted track M Kaneko, K Hotate, S Katsumata, M Komachi Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building …, 2019 | 10 | 2019 |
| Dictionary-based debiasing of pre-trained word embeddings M Kaneko, D Bollegala arXiv preprint arXiv:2101.09525, 2021 | 9 | 2021 |
| Towards multimodal simultaneous neural machine translation A Imankulova, M Kaneko, T Hirasawa, M Komachi arXiv preprint arXiv:2004.03180, 2020 | 9 | 2020 |
| TMU system for SLAM-2018 M Kaneko, T Kajiwara, M Komachi Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building …, 2018 | 8 | 2018 |
| Sentence concatenation approach to data augmentation for neural machine translation S Kondo, K Hotate, M Kaneko, M Komachi arXiv preprint arXiv:2104.08478, 2021 | 6 | 2021 |
| 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 | 6 | 2020 |
| Controlling grammatical error correction using word edit rate K Hotate, M Kaneko, S Katsumata, M Komachi Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 6 | 2019 |
| Some: Reference-less sub-metrics optimized for manual evaluations of grammatical error correction R Yoshimura, M Kaneko, T Kajiwara, M Komachi Proceedings of the 28th International Conference on Computational …, 2020 | 5 | 2020 |
| Generating Diverse Corrections with Local Beam Search for Grammatical Error Correction K Hotate, M Kaneko, M Komachi Proceedings of the 28th International Conference on Computational …, 2020 | 5 | 2020 |
| Unmasking the Mask--Evaluating Social Biases in Masked Language Models M Kaneko, D Bollegala arXiv preprint arXiv:2104.07496, 2021 | 4 | 2021 |
| Autoencoding improves pre-trained word embeddings M Kaneko, D Bollegala arXiv preprint arXiv:2010.13094, 2020 | 4 | 2020 |
| Cross-lingual Transfer Learning for Grammatical Error Correction I Yamashita, S Katsumata, M Kaneko, A Imankulova, M Komachi Proceedings of the 28th International Conference on Computational …, 2020 | 3 | 2020 |
| Simultaneous multi-pivot neural machine translation R Dabre, A Imankulova, M Kaneko, A Chakrabarty arXiv preprint arXiv:2104.07410, 2021 | 2 | 2021 |
| Grammatical-Error-Aware Incorrect Example Retrieval System for Learners of Japanese as a Second Language M Arai, M Kaneko, M Komachi Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building …, 2019 | 2 | 2019 |
Mamoru KomachiProfessor at Tokyo Metropolitan University確認したメール アドレス: tmu.ac.jp
