Journal of Big Data

Table 5 End-to-end performance on the LC-QuAD dataset

From: Querying knowledge graphs in natural language

Evaluation	Models
Evaluation	WDAqua-core1	Frankenstein	Proposed system
Precision	0.59	0.20	0.88
Recall	0.38	0.21	0.56
\(F_1\)-score	0.46	0.20	0.68

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