Browsing by Author "Beare, Richard"
Now showing items 1-4 of 4
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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 ... -
Hardness-guided domain adaptation to recognize biomedical named entities under low-resource scenarios
(2022)Domain adaptation is a promising approach to address data scarcity in low-resource scenarios. However, applying it to token-level tasks like biomedical Named Entity Recognition (bioNER) poses challenges due to the unique ... -
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 ...
