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CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs

Summary: CBench analyzes KG question-answering benchmarks using fine-grained linguistic, syntactic, and structural properties. It complements aggregate accuracy with cross-benchmark comparisons and diagnostics revealing where systems succeed or fail. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12510
Venue
VLDB
Year
2021
Pagerank
5.093636e-05
Overall Rank
11,694 | 19.77%
DOI
10.14778/3457390.3457398

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BibTeX Citation

@article{orogat_vldb21,
        title = {{CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs}},
        author = {Orogat, Abdelghny and Liu, Isabelle and El-Roby, Ahmed},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {8},
        pages = {1325--1337},
        doi = {10.14778/3457390.3457398},
        url = {https://doi.org/10.14778/3457390.3457398},
        year = {2021}
}

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