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