Ryokan Ri

According to our database, Ryokan Ri authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Self-Translate-Train: A Simple but Strong Baseline for Cross-lingual Transfer of Large Language Models.

Ryokan Ri, Shun Kiyono, Sho Takase

CoRR, 2024

Large Vocabulary Size Improves Large Language Models.

Sho Takase, Ryokan Ri, Shun Kiyono, Takuya Kato

CoRR, 2024

LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation.

Ikuya Yamada, Ryokan Ri

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Emergent Communication with Attention.

Ryokan Ri, Ryo Ueda, Jason Naradowsky

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

EASE: Entity-Aware Contrastive Learning of Sentence Embedding.

Sosuke Nishikawa, Ryokan Ri, Ikuya Yamada, Yoshimasa Tsuruoka, Isao Echizen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models.

Ryokan Ri, Ikuya Yamada, Yoshimasa Tsuruoka

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models.

Ryokan Ri, Yoshimasa Tsuruoka

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Modeling Target-side Inflection in Placeholder Translation.

Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka

Proceedings of the 18th Biennial Machine Translation Summit - Volume 1: Research Track, 2021

Zero-pronoun Data Augmentation for Japanese-to-English Translation.

Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka

Proceedings of the 8th Workshop on Asian Translation, 2021

Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings.

Sosuke Nishikawa, Ryokan Ri, Yoshimasa Tsuruoka

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020

Data Augmentation for Learning Bilingual Word Embeddings with Unsupervised Machine Translation.

Sosuke Nishikawa, Ryokan Ri, Yoshimasa Tsuruoka

CoRR, 2020

Document-aligned Japanese-English Conversation Parallel Corpus.

Matiss Rikters, Ryokan Ri, Tong Li, Toshiaki Nakazawa

Proceedings of the Fifth Conference on Machine Translation, 2020

The University of Tokyo's Submissions to the WAT 2020 Shared Task.

Matiss Rikters, Toshiaki Nakazawa, Ryokan Ri

Proceedings of the 7th Workshop on Asian Translation, 2020

Revisiting the Context Window for Cross-lingual Word Embeddings.

Ryokan Ri, Yoshimasa Tsuruoka

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Designing the Business Conversation Corpus.

Matiss Rikters, Ryokan Ri, Tong Li, Toshiaki Nakazawa

Proceedings of the 6th Workshop on Asian Translation, 2019