Browsing by Author "Tan, Wei"
Now showing items 1-5 of 5
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AUC Maximization for Low-Resource Named Entity Recognition
(2023-04-13)Current work in named entity recognition (NER) uses either cross entropy (CE) or conditional random fields (CRF) as the objective/loss functions to optimize the underlying NER model. Both of these traditional objective ... -
Bayesian estimate of mean proper scores for diversity-enhanced active learning
(2023-12-15)The effectiveness of active learning largely depends on the sampling efficiency of the acquisition function. Expected Loss Reduction (ELR) focuses on a Bayesian estimate of the reduction in classification error, and more ... -
Does informativeness matter? Active learning for educational dialogue act classification
(2023-04-12)Dialogue Acts (DAs) can be used to explain what expert tutors do and what students know during the tutoring process. Most empirical studies adopt the random sampling method to obtain sentence samples for manual annotation ... -
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets
(2023-04-15)Dialogue acts (DAs) can represent conversational actions of tutors or students that take place during tutoring dialogues. Automating the identification of DAs in tutoring dialogues is significant to the design of dialogue-based ... -
Robust educational dialogue act classifiers with low-resource and imbalanced datasets
(2023-04-15)Dialogue acts (DAs) can represent conversational actions of tutors or students that take place during tutoring dialogues. Automating the identification of DAs in tutoring dialogues is significant to the design of dialogue-based ...
