Multi-task learning for knowledge graph completion with pre-trained language models B Kim, T Hong, Y Ko, J Seo Proceedings of the 28th International Conference on Computational …, 2020 | 80 | 2020 |
Fine-grained Post-training for Improving Retrieval-based Dialogue Systems J Han, T Hong, B Kim, Y Ko, J Seo Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 75 | 2021 |
Knowledge-grounded dialogue modelling with dialogue-state tracking, domain tracking, and entity extraction T Hong, J Cho, H Yu, Y Ko, J Seo Computer Speech & Language 78, 101460, 2023 | 6 | 2023 |
Korean Text Style Transfer Using Attention-based Sequence-to-Sequence Model T Hong, G Xu, H Ahn, S Kang, J Seo Annual Conference on Human and Language Technology, 567-569, 2018 | 2 | 2018 |
Local Temperature Beam Search: Avoid Neural Text DeGeneration via Enhanced Calibration D Lee, G Kim, J Han, T Hong, YR Kim, SJ Choi, NL Zhang Findings of the Association for Computational Linguistics: ACL 2023, 9903-9915, 2023 | 1 | 2023 |
CECADA: Cause-Effect Conjunctive Adverb-based Data Augmentation Method in Low-Resource Knowledge-Grounded Dialogue T Hong, D Lee, J Han, SJ Choi, J Seo Workshop on Knowledge Augmented Methods for Natural Language Processing, in …, 2023 | 1 | 2023 |
Hierarchical attention based CNN-RNN networks for The Korean Speech-Act Analysis M Seo, T Hong, J Kim, Y Ko, J Seo Annual Conference on Human and Language Technology, 243-246, 2018 | 1 | 2018 |
Sequence to Sequence 모델을 이용한 한국어 형태소 합성 홍태석, 서민영, 김주애, 박영민, 서정연 한국정보과학회 학술발표논문집, 711-713, 2018 | | 2018 |