3 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning
Lei Tian, Yongqiang Tang, Liangchen Hu +1
Domain adaptation manages to transfer the knowledge of well-labeled source data to unlabeled target data. Many recent efforts focus on improving the prediction accuracy of target p…
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…
Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies
Feng Xie, Zhong Zhang, Xuechen Zhao +5
The ongoing COVID-19 pandemic has caused immeasurable losses for people worldwide. To contain the spread of the virus and further alleviate the crisis, various health policies (e.g…