Efficient Knowledge Graph Accuracy Evaluation
Published in arXiv (Cornell University) • Jul 23, 2019
NobleIDNI5P46W14R67S91
Authors:,,
Junyang Gao
Xian Li
Yifan Xu
Abstract
Estimation of the accuracy of a large-scale knowledge graph (KG) often requires humans to annotate samples from the graph. How to obtain statistically meaningful estimates for accuracy evaluation while keeping human annotation costs low is a problem critical to the development cycle of a KG and its ...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!