Ngoc Dang Nguyen

According to our database, Ngoc Dang Nguyen authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification.

Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?

Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen

Proceedings of the IEEE International Conference on Data Mining, 2023

Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition.

Haocheng Luo, Wei Tan, Ngoc Dang Nguyen, Lan Du

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets.

Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Using Large Language Models to Provide Explanatory Feedback to Human Tutors.

Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger

Proceedings of the Workshop "Towards the Future of AI-augmented Human Tutoring in Math Learning" co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023), 2023

AUC Maximization for Low-Resource Named Entity Recognition.

Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios.

Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022