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

From: Querying knowledge graphs in natural language

Evaluation Models
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