most citedSTAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CL2022★ 2 cited

STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction

Junjie Yu, Xing Wang, Jiangjiang Zhao +2

We present a simple yet effective self-training approach, named as STAD, for low-resource relation extraction. The approach first classifies the auto-annotated instances into two g…