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 | 21 | 2022 |
A method of named entity recognition for tigrinya HM Yohannes, T Amagasa ACM SIGAPP Applied Computing Review 22 (3), 56-68, 2022 | 5 | 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 | 3 | 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 |
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 |
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 | | 2023 |
A Study on Enhancing Text Processing using Pre-trained Language Models HM Yohannes | | 2023 |