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cs.CL2024
How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses
Jionghao Lin, Eason Chen, Zeifei Han +5
Automated explanatory feedback systems play a crucial role in facilitating learning for a large cohort of learners by offering feedback that incorporates explanations, significantl…
cs.CL2023
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?
Ngoc Dang Nguyen, Wei Tan, Lan Du +3
Named entity recognition (NER), a task that identifies and categorizes named entities such as persons or organizations from text, is traditionally framed as a multi-class classific…
cs.CL2023★ 1 cited
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition
Haocheng Luo, Wei Tan, Ngoc Dang Nguyen +1
Active learning, a widely adopted technique for enhancing machine learning models in text and image classification tasks with limited annotation resources, has received relatively…