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Zeyuan Ding
Zeyuan Ding
在 mail.dlut.edu.cn 的电子邮件经过验证
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DUTIR at the CCKS-2019 task1: improving chinese clinical named entity recognition using stroke ELMo and transfer learning
N Li, L Luo, Z Ding, Y Song, Z Yang, H Lin
Proceedings of the 4th China Conference on Knowledge Graph and Semantic …, 2019
182019
Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks
L Luo, J Ning, Y Zhao, Z Wang, Z Ding, P Chen, W Fu, Q Han, G Xu, Y Qiu, ...
Journal of the American Medical Informatics Association, ocae037, 2024
162024
Focus on Interaction: A Novel Dynamic Graph Model for Joint Multiple Intent Detection and Slot Filling.
Z Ding, Z Yang, H Lin, J Wang
IJCAI, 3801-3807, 2021
102021
Chinese biomedical entity relation extraction system based on deep learning
D Zeyuan, Y Zhihao, L Ling
Journal of Chinese Information Processing 35 (5), 70-76, 2021
92021
Chinese medical named entity recognition based on Chinese character radical features and pre-trained language models
H Tan, Z Yang, J Ning, Z Ding, Q Liu
2021 International Conference on Asian Language Processing (IALP), 121-124, 2021
82021
KMc-ToD: Structure knowledge enhanced multi-copy network for task-oriented dialogue system
Z Ding, Z Yang, Y Qiao, H Lin
Knowledge-Based Systems 293, 111662, 2024
12024
Joint Biomedical Entity and Relation Extraction with Unified Interaction Maps
H Tan, Z Yang, Z Ding, Z Wang, L Luo, L Wang, Y Zhang, W Liu, H Lin, ...
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023
12023
NER-PS-MS: Medical Attribute Extraction based on Medical Named Entity Recognition
Y Song, L Luo, N Li, Z Ding, Z Yang, H Lin
1
A plug-and-play adapter for consistency identification in task-oriented dialogue systems
Z Ding, Z Yang, H Lin
Information Processing & Management 61 (3), 103637, 2024
2024
From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue
Z Ding, Z Yang, L Luo, Y Sun, H Lin
Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17907 …, 2024
2024
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