1 code implementation • 2 May 2023 • Zhishuo Zhang, Chengxiang Tan, Haihang Wang, Xueyan Zhao, Min Yang
Entity alignment(EA) is a crucial task for integrating cross-lingual and cross-domain knowledge graphs(KGs), which aims to discover entities referring to the same real-world object from different KGs.
1 code implementation • 2 May 2023 • Zhishuo Zhang, Chengxiang Tan, Xueyan Zhao, Min Yang, Chaoqun Jiang
In addition, external resources are usually unavailable in some scenarios especially cross-lingual and cross-domain applications, which reflects the little scalability of these methods.
no code implementations • 13 Nov 2020 • David T. Frazier, Eric Renault, Lina Zhang, Xueyan Zhao
We study the impact of weak identification in discrete choice models, and provide insights into the determinants of identification strength in these models.
no code implementations • 6 Sep 2020 • Lina Zhang, David T. Frazier, D. S. Poskitt, Xueyan Zhao
This paper examines the identification power of instrumental variables (IVs) for average treatment effect (ATE) in partially identified models.