no code implementations • SMM4H (COLING) 2022 • Tzu-Mi Lin, Chao-Yi Chen, Yu-Wen Tzeng, Lung-Hao Lee
This study describes our proposed system design for the SMM4H 2022 Task 8.
no code implementations • ROCLING 2021 • Yuh-Shyang Wang, Chao-Yi Chen, Lung-Hao Lee
We propose the mixed-attention-based Generative Adversarial Network (named maGAN), and apply it for citation intent classification in scientific publication.
no code implementations • ROCLING 2021 • Man-Chen Hung, Chao-Yi Chen, Pin-Jung Chen, Lung-Hao Lee
On ROCLING-2021 test set, our used MacBERT model achieves 0. 611 of MAE and 0. 904 of r in the valence dimensions; and 0. 938 of MAE and 0. 549 of r in the arousal dimension.
no code implementations • ROCLING 2022 • Lung-Hao Lee, Chao-Yi Chen, Liang-Chih Yu, Yuen-Hsien Tseng
This paper describes the ROCLING-2022 shared task for Chinese healthcare named entity recognition, including task description, data preparation, performance metrics, and evaluation results.
Chinese Named Entity Recognition named-entity-recognition +1