Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods F Christopoulou, TT Tran, SK Sahu, M Miwa, S Ananiadou Journal of the American Medical Informatics Association 27 (1), 39-46, 2020 | 100 | 2020 |
DeepEventMine: end-to-end neural nested event extraction from biomedical texts HL Trieu, TT Tran, KNA Duong, A Nguyen, M Miwa, S Ananiadou Bioinformatics 36 (19), 4910-4917, 2020 | 76 | 2020 |
Revisiting unsupervised relation extraction TT Tran, P Le, S Ananiadou Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 40 | 2020 |
Syntactically-informed word representations from graph neural network TT Tran, M Miwa, S Ananiadou Neurocomputing 413, 431-443, 2020 | 17 | 2020 |
The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification M Mesgar, TT Tran, G Glavas, I Gurevych Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 2 | 2023 |
One-shot to Weakly-Supervised Relation Classification using Language Models TT Tran, P Le, S Ananiadou 3rd Conference on Automated Knowledge Base Construction, 2021 | 2 | 2021 |
Exploiting Unlabelled Data for Relation Extraction T Tran PQDT-Global, 2021 | 1 | 2021 |
Learning from Emotions, Demographic Information and Implicit User Feedback in Task-Oriented Document-Grounded Dialogues D Petrak, TT Tran, I Gurevych arXiv preprint arXiv:2401.09248, 2024 | | 2024 |
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation T Yang, TT Tran, I Gurevych Findings of the Association for Computational Linguistics: EMNLP 2023, 4718–4735, 2023 | | 2023 |