| Forest-based neural machine translation C Ma, A Tamura, M Utiyama, T Zhao, E Sumita Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 34 | 2018 |
| Improving neural machine translation with neural syntactic distance C Ma, A Tamura, M Utiyama, E Sumita, T Zhao Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 28 | 2019 |
| Deterministic attention for sequence-to-sequence constituent parsing C Ma, L Liu, A Tamura, T Zhao, E Sumita Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 14 | 2017 |
| Syntax-based transformer for neural machine translation C Ma, A Tamura, M Utiyama, E Sumita, T Zhao Journal of Natural Language Processing 27 (2), 445-466, 2020 | 7 | 2020 |
| Auxiliary learning for named entity recognition with multiple auxiliary biomedical training data T Watanabe, T Ichikawa, A Tamura, T Iwakura, C Ma, T Kato Proceedings of the 21st Workshop on Biomedical Language Processing, 130-139, 2022 | 5 | 2022 |
| On the (in) effectiveness of images for text classification C Ma, A Shen, H Yoshikawa, T Iwakura, D Beck, T Baldwin Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 5 | 2021 |
| UOM-FJ at the NTCIR-15 SHINRA2020-ML task H Yoshikawa, C Ma, A Shen, Q Sun, C Huang, G Pelat, A Miura, D Beck, ... Proceedings of the 15th NTCIR Conference on Evaluation of Information Access …, 2020 | 3 | 2020 |
| On the effectiveness of images in multi-modal text classification: an annotation study C Ma, A Shen, H Yoshikawa, T Iwakura, D Beck, T Baldwin ACM Transactions on Asian and Low-Resource Language Information Processing …, 2023 | 2 | 2023 |
| Evaluating hierarchical document categorisation Q Sun, A Shen, H Yoshikawa, C Ma, D Beck, T Iwakura, T Baldwin Proceedings of the The 19th Annual Workshop of the Australasian Language …, 2021 | 2 | 2021 |
| Encoder-Decoder Attention≠ Word Alignment: Axiomatic Method of Learning Word Alignments for Neural Machine Translation C Ma, A Tamura, M Utiyama, T Zhao, E Sumita Journal of Natural Language Processing 27 (3), 531-552, 2020 | 2 | 2020 |
| Improving Feature-Rich Transition-Based Constituent Parsing Using Recurrent Neural Networks C Ma, A Tamura, L Liu, T Zhao, E Sumita IEICE TRANSACTIONS on Information and Systems 100 (9), 2205-2214, 2017 | 1 | 2017 |
| Control method and information processing apparatus MA Chunpeng, T Iwakura, Y Kanazawa, T Takahashi US Patent App. 18/082,154, 2023 | | 2023 |
| Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Training Data T Watanabe, T Ichikawa, A Tamura, T Iwakura, C Ma, T Kato BioNLP 2022@ ACL 2022, 130, 2022 | | 2022 |
| Erratum: Improving Feature-Rich Transition-Based Constituent Parsing Using Recurrent Neural Networks [IEICE Transactions on Information and Systems Vol. E100. D (2017), No. 9 … C Ma, A Tamura, L Liu, T Zhao, E Sumita IEICE Transactions on Information and Systems 102 (9), 1890-1890, 2019 | | 2019 |
| Literature listing F Aiolli, R Cardin, F Sebastiani, A Sperduti, XL Chu, C Ma, J Li, BL Lu, ... World Patent Information 31, 166-171, 2008 | | 2008 |
