3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2023
MixTEA: Semi-supervised Entity Alignment with Mixture Teaching
Feng Xie, Xin Song, Xiang Zeng +4
Semi-supervised entity alignment (EA) is a practical and challenging task because of the lack of adequate labeled mappings as training data. Most works address this problem by gene…
cs.CL2023★ 2 cited
Improving Knowledge Graph Entity Alignment with Graph Augmentation
Feng Xie, Xiang Zeng, Bin Zhou +1
Entity alignment (EA) which links equivalent entities across different knowledge graphs (KGs) plays a crucial role in knowledge fusion. In recent years, graph neural networks (GNNs…
cs.CL2022★ 3 cited
Zero-shot stance detection based on cross-domain feature enhancement by contrastive learning
Xuechen Zhao, Jiaying Zou, Zhong Zhang +3
Zero-shot stance detection is challenging because it requires detecting the stance of previously unseen targets in the inference phase. The ability to learn transferable target-inv…