| Named-entity recognition for a low-resource language using pre-trained language model HM Yohannes, T Amagasa Proceedings of the 37th ACM/SIGAPP symposium on applied computing, 837-844, 2022 | 28 | 2022 |
| A method of named entity recognition for tigrinya HM Yohannes, T Amagasa ACM SIGAPP Applied Computing Review 22 (3), 56-68, 2022 | 6 | 2022 |
| A scheme for news article classification in a low-resource language HM Yohannes, T Amagasa International Conference on Information Integration and Web, 519-530, 2022 | 4 | 2022 |
| Commonsense Temporal Action Knowledge (CoTAK) Dataset S Lynden, HM Yohannes, KS Kim, A Jatowt, A Matono, HT Yu, X Liu, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| Self-Attention-based Data Augmentation Method for Text Classification MY Hailemariam, S Lynden, A Matono, T Amagasa Proceedings of the 2023 15th International Conference on Machine Learning …, 2023 | 1 | 2023 |
| Semi-supervised Named Entity Recognition for Low-Resource Languages Using Dual PLMs H Mehari Yohannes, S Lynden, T Amagasa, A Matono International Conference on Applications of Natural Language to Information …, 2024 | | 2024 |
| Long Text Classification Using Pre-trained Language Model for a Low-Resource Language HM Yohannes, T Amagasa 2023 6th International Conference on Information and Computer Technologies …, 2023 | | 2023 |
| A Study on Enhancing Text Processing using Pre-trained Language Models HM Yohannes | | 2023 |
