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Masahiro Kaneko
Masahiro Kaneko
Verified email at nlp.c.titech.ac.jp - Homepage
Title
Cited by
Cited by
Year
Gender-preserving debiasing for pre-trained word embeddings
M Kaneko, D Bollegala
arXiv preprint arXiv:1906.00742, 2019
812019
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
742020
Debiasing pre-trained contextualised embeddings
M Kaneko, D Bollegala
arXiv preprint arXiv:2101.09523, 2021
282021
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
282017
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
212019
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
172019
Dictionary-based debiasing of pre-trained word embeddings
M Kaneko, D Bollegala
arXiv preprint arXiv:2101.09525, 2021
162021
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
102019
Towards multimodal simultaneous neural machine translation
A Imankulova, M Kaneko, T Hirasawa, M Komachi
arXiv preprint arXiv:2004.03180, 2020
92020
TMU system for SLAM-2018
M Kaneko, T Kajiwara, M Komachi
Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building …, 2018
92018
Autoencoding improves pre-trained word embeddings
M Kaneko, D Bollegala
arXiv preprint arXiv:2010.13094, 2020
72020
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
72019
Unmasking the mask–evaluating social biases in masked language models
M Kaneko, D Bollegala
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11954 …, 2022
62022
Sentence concatenation approach to data augmentation for neural machine translation
S Kondo, K Hotate, M Kaneko, M Komachi
arXiv preprint arXiv:2104.08478, 2021
62021
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
62020
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
62020
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
52020
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
42020
Comparison of Grammatical Error Correction Using Back-Translation Models
A Koyama, K Hotate, M Kaneko, M Komachi
arXiv preprint arXiv:2104.07848, 2021
32021
Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings
Y Zhou, M Kaneko, D Bollegala
arXiv preprint arXiv:2203.07523, 2022
22022
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