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Hits 1 – 9 of 9
1
Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings
Kaneko, Masahiro
;
Zhou, Yi
;
Bollegala, Danushka
. - 2022
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2
Dictionary-based Debiasing of Pre-trained Word Embeddings.
Bollegala, Danushka
;
Kaneko, Masahiro
. - : Association for Computational Linguistics, 2021
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3
Debiasing Pre-trained Contextualised Embeddings.
Kaneko, Masahiro
;
Bollegala, Danushka
. - : Association for Computational Linguistics, 2021
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4
Autoencoding Improves Pre-trained Word Embeddings ...
Kaneko, Masahiro
;
Bollegala, Danushka
. - : arXiv, 2020
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5
Autoencoding Improves Pre-trained Word Embeddings ...
The 28th International Conference on Computational Linguistics 2020
;
Bollegala, Danushka
;
Kaneko, Masahiro
. - : Underline Science Inc., 2020
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6
Cross-lingual Transfer Learning for Grammatical Error Correction ...
The 28th International Conference on Computational Linguistics 2020
;
Imankulova, Aizhan
;
Kaneko, Masahiro
. - : Underline Science Inc., 2020
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7
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction ...
Kaneko, Masahiro
;
Mita, Masato
;
Kiyono, Shun
. - : arXiv, 2020
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8
Autoencoding Improves Pre-trained Word Embeddings.
Kaneko, Masahiro
;
Bollegala, Danushka
. - : International Committee on Computational Linguistics, 2020
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9
Gender-preserving Debiasing for Pre-trained Word Embeddings ...
Kaneko, Masahiro
;
Bollegala, Danushka
. - : arXiv, 2019
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