2 citations · 4 across the 2 of their papers we have counts for
2 papers
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…
cs.CL2020★ 2 cited
Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction
Tong Zhu, Haitao Wang, Junjie Yu +4
In recent years, distantly-supervised relation extraction has achieved a certain success by using deep neural networks. Distant Supervision (DS) can automatically generate large-sc…