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Kaneko, M and Bollegala, D 
ORCID: 0000-0003-4476-7003
(2020)
Autoencoding Improves Pre-trained Word Embeddings.
In: International Conference on Computational Linguistics, 2020-12-8 - 2020-12-13, Virtual.
Kaneko, M, Bollegala, D ORCID: 0000-0003-4476-7003 and Okazaki, N
(2023)
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples.
In: European Chapter of the Association for Computational Linguistics (EACL 2023), 2023-5-3 - 2023-5-5, Croatia.
Kaneko, M, Bollegala, D ORCID: 0000-0003-4476-7003 and Okazaki, N
(2022)
Debiasing isn’t enough! – On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks.
In: 29th International Conference on Computational Linguistics, 2022-10-12 - 2022-10-17, South Korea.
Kaneko, M, Bollegala, D ORCID: 0000-0003-4476-7003 and Okazaki, N
(2022)
Gender Bias in Meta-Embeddings.
In: Empirical Methods in Natural Language Processing, 2022-12-7 - 2022-12-11, Abu Dabi.
Nakagomi, T, Do, LP, Agbemabiese, CA, Kaneko, M, Gauchan, P, Doan, YH, Jere, KC ORCID: 0000-0003-3376-8529, Steele, AD, Iturriza-Gomara, M ORCID: 0000-0001-5816-6423, Nakagomi, O et al (show 1 more authors)
(2017)
Whole-genome characterisation of G12P[6] rotavirus strains possessing two distinct genotype constellations co-circulating in Blantyre, Malawi, 2008.
ARCHIVES OF VIROLOGY, 162 (1).
pp. 213-226.