tzu-mi

Tzu-Mi Lin

PhD. Student
Institute of Artificial Intelligence
National Yang Ming Chiao Tung University


Education


Experience


Publications

Journal Papers

  1. Tzu-Mi Lin, Man-Chen Hung, and Lung-Hao Lee (2024). Leveraging Dual Gloss Encoders in Chinese Biomedical Entity Linking. ACM Transactions on Asian and Low-Resource Language Information Processing (ACM TALLIP), 23(2), Article 28, 1-15.

Conference / Workshop Papers

  1. Lung-Hao Lee, Tzu-Mi Lin, Hsiu-Min Shih, Kuo-Kai Shyu, Anna S. Hsu, and Peih-Yinh Lu (2025). ROCLING 2025 Shared Task: Chinese Dimensional Sentiment Analysis for Medical Self-reflection Texts. In Proceedings of the 37th Conference on Computational Linguistics and Speech Processing (ROCLING'25).

  2. Hsiu-Min Shih, Tzu-Mi Lin, Yu-Wen Tzeng, Jung-Ying Chang, Kuo-Kai Shyu, and Lung- Hao Lee(2024). Chinese Psychological Counseling Corpus Construction for Valence- Arousal Sentiment Intensity Prediction. In Proceedings of the 27th Conference of the Oriental COCOSDA (O-COCOSDA'24).

  3. Tzu-Mi Lin, Yu-Hsin Wu, and Lung-Hao Lee (2024).Team NYCU-NLPatPAN 2024: Integrating Transformers with Similarity Adjustments for Multi-Author Writing Style Analysis. In Proceedings of the Working Notes of CLEF 2024 - Conference and Labs of the Evaluation Forum, Grenoble, France, 9-12 September 2024, vol. 3740, pp. 2716-2721.

  4. Tzu-Mi Lin, Zhe-YuXu, Jian-Yu Zhou, and Lung-HaoLee (2024).NYCU-NLP at EXALT 2024: Assembling Large Language Models for Cross-Lingual Emotion and Trigger Detection. In Proceedings of 14th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA'24), Bangkok, Thailand, 15 August, 2024, pp. 505-510.

  5. Lung-Hao Lee, Chen-Ya Chiou, and Tzu-Mi Lin (2024). NYCU-NLP at SemEval-2024 Task 2: Aggregating Large Language Models in Biomedical Natural Language Inference for Clinical Trials. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval'24), Mexico City, Mexico, 20-21 June, 2024, pp. 1455-1462.

  6. Lung-Hao Lee, Tzu-Mi Lin, and Chao-Yi Chen (2023). Overview of the ROCLING 2023 Shared Task for Chinese Multi-genre Named Entity Recognition in the Healthcare Domain. In Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING’23), Taipei, Taiwan, 20-21 October, 2023, pp. 333-338.

  7. Tzu-Mi Lin, Jung-Ying Chang, and Lung-Hao Lee (2023). NCUEE-NLP at WASSA 2023 Shared Task 1: Empathy and Emotion Prediction Using Sentiment-Enhanced RoBERTa Transformers. In Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis (WASSA’23), pp. 548–552.

  8. Tzu-Mi Lin, Chao-Yi Chen, Yu-Wen Tzeng, and Lung-Hao Lee (2022). NCUEE- NLP@SMM4H'22: Classification of Self-reported Chronic Stress on Twitter Using Ensemble Pre-trained Transformer Models. In Proceedings of the 7th Social Media Mining for Health Applications (SMM4H'22) Workshop and Shared Tasks, pp. 62-64.

  9. Tzu-Mi Lin, Chao-Yi Chen, Lung-Hao Lee, and Yuen-Hsien Tseng (2022). Evaluating the Performance of Chinese Multi-Label Grammatical Error Detection Using Deep Neural Networks. In Proceedings of the 30th International Conference on Computers in Education (ICCE'22), pp. 524-526.

  10. Tzu-Mi Lin, Chao-Yi Chen, Yu-Wen Tzeng, and Lung-Hao Lee (2022). Ensemble Pre- trained Transformer Models for Writing Style Change Detection. In Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, 5-8 September, 2022, vol. 3180, pp. 2565-2573.

  11. Lung-Hao Lee, Chien-Huan Lu, and Tzu-Mi Lin (2022). NCUEE-NLP at SemEval-2022 Task 11: Chinese Named Entity Recognition Using the BERT-BiLSTM-CRF Model. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval'22), Seattle, Washington and Online, 14-15 July, 2022, pp. 1597-1602.


Awards


Organizing Committee