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Shoetsu Sato
Shoetsu Sato
Ph.D student, the University of Tokyo
Verified email at tkl.iis.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
Learning to describe unknown phrases with local and global contexts
S Ishiwatari, H Hayashi, N Yoshinaga, G Neubig, S Sato, M Toyoda, ...
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
552019
Modeling situations in neural chat bots
S Sato, N Yoshinaga, M Toyoda, M Kitsuregawa
Proceedings of ACL 2017, student research workshop, 120-127, 2017
392017
Vocabulary adaptation for domain adaptation in neural machine translation
S Sato, J Sakuma, N Yoshinaga, M Toyoda, M Kitsuregawa
Findings of the Association for Computational Linguistics: EMNLP 2020, 4269-4279, 2020
342020
Modeling personal biases in language use by inducing personalized word embeddings
D Oba, N Yoshinaga, S Sato, S Akasaki, M Toyoda
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
162019
Understanding interpersonal variations in word meanings via review target identification
D Oba, S Sato, N Yoshinaga, S Akasaki, M Toyoda
International Conference on Computational Linguistics and Intelligent Text …, 2019
32019
Personal semantic variations in word meanings: Induction, application, and analysis
D Oba, S Sato, S Akasaki, N Yoshinaga, M Toyoda
Journal of Natural Language Processing 27 (2), 467-490, 2020
22020
UT Dialogue System at NTCIR-12 STC.
S Sato, S Ishiwatari, N Yoshinaga, M Toyoda, M Kitsuregawa
NTCIR, 2016
12016
Rethinking Response Evaluation from Interlocutor's Eye for Open-Domain Dialogue Systems
Y Tsuta, N Yoshinaga, S Sato, M Toyoda
arXiv preprint arXiv:2401.02256, 2024
2024
Speculative Sampling in Variational Autoencoders for Dialogue Response Generation
S Sato, N Yoshinaga, M Toyoda, M Kitsuregawa
Findings of the Association for Computational Linguistics: EMNLP 2021, 4739-4745, 2021
2021
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Articles 1–9