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Richard Beare

2 accepted papers

2023

AUC Maximization for Low-Resource Named Entity Recognition

AAAI 2023technical

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 functions for the NER problem generally produce adequate performance when the dat…

2022

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

EMNLP 2022main

Domain adaptation is an effective solution to data scarcity in low-resource scenarios. However, when applied to token-level tasks such as bioNER, domain adaptation methods often suffer from the challenging linguistic characteristics that clinical narratives possess, which leads to unsatsifactory per…