| Towards better non-tree argument mining: Proposition-level biaffine parsing with task-specific parameterization G Morio, H Ozaki, T Morishita, Y Koreeda, K Yanai Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 35 | 2020 |
| Hitachi at SemEval-2020 task 11: An empirical study of pre-trained transformer family for propaganda detection G Morio, T Morishita, H Ozaki, T Miyoshi Proceedings of the fourteenth workshop on semantic evaluation, 1739-1748, 2020 | 21 | 2020 |
| End-to-end argument mining with cross-corpora multi-task learning G Morio, H Ozaki, T Morishita, K Yanai Transactions of the Association for Computational Linguistics 10, 639-658, 2022 | 14 | 2022 |
| Hitachi at MRP 2020: Text-to-graph-notation transducer H Ozaki, G Morio, Y Koreeda, T Morishita, T Miyoshi Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning …, 2020 | 14 | 2020 |
| Hitachi at SemEval-2020 task 8: Simple but effective modality ensemble for meme emotion recognition T Morishita, G Morio, S Horiguchi, H Ozaki, T Miyoshi Proceedings of the Fourteenth Workshop on Semantic Evaluation, 1126-1134, 2020 | 11 | 2020 |
| Hitachi at SemEval-2020 task 7: Stacking at scale with heterogeneous language models for humor recognition T Morishita, G Morio, H Ozaki, T Miyoshi Proceedings of the Fourteenth Workshop on Semantic Evaluation, 791-803, 2020 | 9 | 2020 |
| Hitachi at MRP 2019: Unified encoder-to-biaffine network for cross-framework meaning representation parsing Y Koreeda, G Morio, T Morishita, H Ozaki, K Yanai CoNLL 2019, 2019 | 6 | 2019 |
| How do different tokenizers perform on downstream tasks in scriptio continua languages?: A case study in Japanese T Fujii, K Shibata, A Yamaguchi, T Morishita, Y Sogawa ACL 2023, student research workshop, 2023 | 5 | 2023 |
| Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic T Morishita, G Morio, A Yamaguchi, Y Sogawa ICML2023, 2023 | 5 | 2023 |
| Project-then-transfer: Effective two-stage cross-lingual transfer for semantic dependency parsing H Ozaki, G Morio, T Morishita, T Miyoshi Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 5 | 2021 |
| Hitachi at SemEval-2020 Task 10: Emphasis distribution fusion on fine-tuned language models G Morio, T Morishita, H Ozaki, T Miyoshi Proceedings of the Fourteenth Workshop on Semantic Evaluation, 1658-1664, 2020 | 4 | 2020 |
| Hitachi at SemEval-2020 Task 3: Exploring the representation spaces of transformers for human sense word similarity T Morishita, G Morio, H Ozaki, T Miyoshi Proceedings of the Fourteenth Workshop on Semantic Evaluation, 286-291, 2020 | 4 | 2020 |
| Word score calculation device, word score calculation method, and computer program product T Morishita, T Masuko US Patent 10,964,313, 2021 | 2 | 2021 |
| Microphone cooperation device T Taniguchi, T Ashikawa, T Morishita US Patent 10,587,941, 2020 | 2 | 2020 |
| LARCH: Large Language Model-based Automatic Readme Creation with Heuristics Y Koreeda, T Morishita, O Imaichi, Y Sogawa CIKM demonstration., 2023 | 1 | 2023 |
| How does the task complexity of masked pretraining objectives affect downstream performance? A Yamaguchi, H Ozaki, T Morishita, G Morio, Y Sogawa ACL2023, findings., 2023 | 1 | 2023 |
| Rethinking Fano’s Inequality in Ensemble Learning T Morishita, G Morio, S Horiguchi, H Ozaki, N Nukaga International Conference on Machine Learning, 15976-16016, 2022 | 1 | 2022 |
| i-Parser: Interactive parser development kit for natural language processing G Morio, H Ozaki, Y Koreeda, T Morishita, T Miyoshi Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 16091 …, 2021 | 1 | 2021 |
| CHICOT: A Developer-Assistance Toolkit for Code Search with High-Level Contextual Information T Morishita, Y Koreeda, A Yamaguchi, G Morio, O Imaichi, Y Sogawa Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23817 …, 2024 | | 2024 |
| appjsonify: An Academic Paper PDF-to-JSON Conversion Toolkit A Yamaguchi, T Morishita arXiv preprint arXiv:2310.01206, 2023 | | 2023 |
Yuta KoreedaHitachi, Ltd., Hitachi America, Ltd., Stanford CSDirección de correo verificada de hitachi.com
