no code implementations • Findings (ACL) 2022 • Jinfa Yang, Xianghua Ying, Yongjie Shi, Xin Tong, Ruibin Wang, Taiyan Chen, Bowei Xing
The recently proposed Limit-based Scoring Loss independently limits the range of positive and negative triplet scores.
no code implementations • Findings (EMNLP) 2021 • Jinfa Yang, Yongjie Shi, Xin Tong, Robin Wang, Taiyan Chen, Xianghua Ying
By using previous knowledge graph embedding methods, every entity in a knowledge graph is usually represented as a k-dimensional vector.
1 code implementation • COLING 2022 • Jinfa Yang, Xianghua Ying, Yongjie Shi, Xin Tong, Ruibin Wang, Taiyan Chen, Bowei Xing
It is crucial for knowledge graph embedding models to model and infer various relation patterns, such as symmetry/antisymmetry.