Cognitive Graph QA
Reported on 6 benchmarks across 1 task · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing6 results
- ANS-EM· 2019-05-140.371best: 0.727 (Beam Retrieval)
- ANS-F1· 2019-05-140.489best: 0.85 (Beam Retrieval)
- JOINT-EM· 2019-05-140.124best: 0.505 (Beam Retrieval)
- JOINT-F1· 2019-05-140.349best: 0.775 (Beam Retrieval)
- SUP-EM· 2019-05-140.228best: 0.663 (Beam Retrieval)
- SUP-F1· 2019-05-140.577best: 0.901 (Beam Retrieval)