Now showing items 1-2 of 2

    • AUC Maximization for Low-Resource Named Entity Recognition 

      Nguyen, Ngoc Dang; Tan, Wei; Du, Lan; Buntine, Wray; Beare, Richard; Chen, Changyou (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 

      Buntine, Wray; Chen, Changyou; Beare, Richard; nguyen, Ngoc Dang; Du, Lan (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 ...

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