Skip to main content

Table 6 End-to-end performance on the QALD-7 dataset

From: Querying knowledge graphs in natural language

Evaluation Models
WDAqua ganswer2 Proposed system
Precision 0.488 0.557 0.813
Recall 0.535 0.592 0.527
\(F_1\)-score 0.511 0.556 0.639