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Sosuke Nishikawa
Sosuke Nishikawa
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LY Corporation
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Closer look at the transferability of adversarial examples: How they fool different models differently
F Waseda, S Nishikawa, TN Le, HH Nguyen, I Echizen
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer ¡­, 2023
262023
EASE: Entity-aware contrastive learning of sentence embedding
S Nishikawa, R Ri, I Yamada, Y Tsuruoka, I Echizen
Proceedings of the 2022 Conference of the North American Chapter of the ¡­, 2022
262022
Data augmentation with unsupervised machine translation improves the structural similarity of cross-lingual word embeddings
S Nishikawa, R Ri, Y Tsuruoka
Proceedings of the 59th Annual Meeting of the Association for Computational ¡­, 2020
52020
A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification
S Nishikawa, I Yamada, Y Tsuruoka, I Echizen
Proceedings of the 26th Conference on Computational Natural Language ¡­, 2021
42021
Data Augmentation for Learning Bilingual Word Embeddings with Unsupervised Machine Translation
S Nishikawa, R Ri, Y Tsuruoka
arXiv preprint arXiv:2006.00262, 2020
22020
Studio Ousia at the NTCIR-15 SHINRA2020-ML Task
S Nishikawa, I Yamada
Proceedings of the NTCIR 15, 2020
22020
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ÑÔ語処Àíѧ»áµÚ 29 »ØÄê´Î´ó»á発±í論Îļ¯, 1532-1537, 2023
2023
EASE: Entity-Aware Contrastive Learning of Sentence Embedding
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×ÔÈ»ÑÔ語処Àí 29 (4), 1290-1296, 2022
2022
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ÑÔ語処Àíѧ»áµÚ 27 »ØÄê´Î´ó»á発±í論Îļ¯, 826-830, 2021
2021
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ÑÔ語処Àíѧ»áµÚ 27 »ØÄê´Î´ó»á発±í論Îļ¯, 1616-1621, 2021
2021
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ÑÔ語処Àíѧ»áµÚ 26 »ØÄê´Î´ó»á発±í論Îļ¯, 1249-1252, 2020
2020
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