| Stochastic tokenization with a language model for neural text classification T Hiraoka, H Shindo, Y Matsumoto Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 29 | 2019 |
| Named entity recognition and relation extraction using enhanced table filling by contextualized representations Y Ma, T Hiraoka, N Okazaki Journal of Natural Language Processing 29 (1), 187-223, 2022 | 28 | 2022 |
| Joint entity and relation extraction based on table labeling using convolutional neural networks Y Ma, T Hiraoka, N Okazaki Proceedings of the sixth workshop on structured prediction for NLP, 11-21, 2022 | 17 | 2022 |
| Joint optimization of tokenization and downstream model T Hiraoka, S Takase, K Uchiumi, A Keyaki, N Okazaki arXiv preprint arXiv:2105.12410, 2021 | 17 | 2021 |
| Optimizing word segmentation for downstream task T Hiraoka, S Takase, K Uchiumi, A Keyaki, N Okazaki Findings of the Association for Computational Linguistics: EMNLP 2020, 1341-1351, 2020 | 16 | 2020 |
| MaxMatch-Dropout: subword regularization for wordpiece T Hiraoka arXiv preprint arXiv:2209.04126, 2022 | 5 | 2022 |
| Recurrent neural hidden Markov model for high-order transition T Hiraoka, S Takase, K Uchiumi, A Keyaki, N Okazaki Transactions on Asian and Low-Resource Language Information Processing 21 (2 …, 2021 | 5 | 2021 |
| Word-level perturbation considering word length and compositional subwords T Hiraoka, S Takase, K Uchiumi, A Keyaki, N Okazaki Findings of the Association for Computational Linguistics: ACL 2022, 3268-3275, 2022 | 3 | 2022 |
| テキストベクトルの重みづけを用いた タスクに対する単語分割の最適化 平岡達也， 高瀬翔， 内海慶， 欅惇志， 岡崎直観 自然言語処理 28 (2), 479-507, 2021 | 3 | 2021 |
| RNN により高次の依存を考慮したニューラル隠れマルコフモデル 平岡達也， 高瀬翔， 内海慶， 欅惇志， 岡崎直観 言語処理学会第 26 回年次大会発表論文集 3, 16-19, 2020 | 3 | 2020 |
| Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation S Takase, T Hiraoka, N Okazaki arXiv preprint arXiv:2203.13528, 2022 | 2 | 2022 |
| 単語分割と後段モデルの損失値を用いた同時最適化 平岡達也， 高瀬翔， 内海慶， 欅惇志， 岡崎直観 自然言語処理 29 (1), 112-143, 2022 | 2 | 2022 |
| Tokenization Tractability for Human and Machine Learning Model: An Annotation Study. T Hiraoka, T Iwakura arXiv preprint arXiv:2304.10813, 2023 | 1 | 2023 |
| 単語分割の最適化に関する研究は雑談と偶然の出会いに育まれた 平岡達也 自然言語処理 29 (2), 688-693, 2022 | 1 | 2022 |
| LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs A Aizawa, E Aramaki, B Chen, F Cheng, H Deguchi, R Enomoto, K Fujii, ... arXiv preprint arXiv:2407.03963, 2024 | | 2024 |
| An Analysis of BPE Vocabulary Trimming in Neural Machine Translation M Cognetta, T Hiraoka, N Okazaki, R Sennrich, Y Pinter arXiv preprint arXiv:2404.00397, 2024 | | 2024 |
| Constructing Multilingual Visual-Text Datasets Revealing Visual Multilingual Ability of Vision Language Models J Atuhurra, I Ali, T Hiraoka, H Kamigaito, T Iwakura, T Watanabe arXiv preprint arXiv:2406.15359, 2024 | | 2024 |
| Knowledge of Pretrained Language Models on Surface Information of Tokens T Hiraoka, N Okazaki arXiv preprint arXiv:2402.09808, 2024 | | 2024 |
| Vocabulary Replacement in SentencePiece for Domain Adaptation T Kajiura, S Takano, T Hiraoka, K Kuramitsu Proceedings of the 37th Pacific Asia Conference on Language, Information and …, 2023 | | 2023 |
| Tokenization Preference for Human and Machine Learning Model: An Annotation Study T Hiraoka, T Iwakura arXiv preprint arXiv:2304.10813, 2023 | | 2023 |
Sho TakaseLINE CorporationVerified email at nlp.c.titech.ac.jp
