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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 ...

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