Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition

X Zhang, G Chen, S Cui, J Sheng, T Liu… - Proceedings of the 47th …, 2024 - dl.acm.org
Low-resource Complex Named Entity Recognition aims to detect entities with the form of any
linguistic constituent under scenarios with limited manually annotated data. Existing studies …
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Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition

X Zhang, G Chen, S Cui, J Sheng, T Liu, H Xu - SIGIR, 2024 - openreview.net
Low-resource Complex Named Entity Recognition aims to detect entities with the form of any
linguistic constituent under scenarios with limited manually annotated data. Existing studies …
[PDF] liutingwen.ac.cn

[PDF][PDF] Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition

X Zhang, G Chen, S Cui, J Sheng, T Liu, H Xu - 2024 - liutingwen.ac.cn
ABSTRACT Low-resource Complex Named Entity Recognition aims to detect entities with
the form of any linguistic constituent under scenarios with limited manually annotated data …
[PDF] liutingwen.ac.cn

[PDF][PDF] Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition

X Zhang, G Chen, S Cui, J Sheng, T Liu, H Xu - 2024 - liutingwen.ac.cn
ABSTRACT Low-resource Complex Named Entity Recognition aims to detect entities with
the form of any linguistic constituent under scenarios with limited manually annotated data …