Masahiro Kaneko
Masahiro Kaneko
Dirección de correo verificada de nlp.c.titech.ac.jp - Página principal
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Gender-preserving debiasing for pre-trained word embeddings
M Kaneko, D Bollegala
arXiv preprint arXiv:1906.00742, 2019
442019
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
402020
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
232017
Multi-head multi-layer attention to deep language representations for grammatical error detection
M Kaneko, M Komachi
arXiv preprint arXiv:1904.07334, 2019
152019
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
92019
Debiasing pre-trained contextualised embeddings
M Kaneko, D Bollegala
arXiv preprint arXiv:2101.09523, 2021
72021
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
72019
Towards multimodal simultaneous neural machine translation
A Imankulova, M Kaneko, T Hirasawa, M Komachi
arXiv preprint arXiv:2004.03180, 2020
62020
TMU system for SLAM-2018
M Kaneko, T Kajiwara, M Komachi
Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building …, 2018
62018
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
52019
Sentence concatenation approach to data augmentation for neural machine translation
S Kondo, K Hotate, M Kaneko, M Komachi
arXiv preprint arXiv:2104.08478, 2021
42021
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
32020
Autoencoding improves pre-trained word embeddings
M Kaneko, D Bollegala
arXiv preprint arXiv:2010.13094, 2020
32020
Simultaneous Multi-Pivot Neural Machine Translation
R Dabre, A Imankulova, M Kaneko, A Chakrabarty
arXiv preprint arXiv:2104.07410, 2021
22021
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
22020
Dictionary-based debiasing of pre-trained word embeddings
M Kaneko, D Bollegala
arXiv preprint arXiv:2101.09525, 2021
12021
TMU Japanese-English Multimodal Machine Translation System for WAT 2020
H Tamura, T Hirasawa, M Kaneko, M Komachi
Proceedings of the 7th Workshop on Asian Translation, 80-91, 2020
12020
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
12020
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
12020
English-to-Japanese diverse translation by combining forward and backward outputs
M Kaneko, A Imankulova, T Hirasawa, M Komachi
Proceedings of the Fourth Workshop on Neural Generation and Translation, 134-138, 2020
12020
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