HGN + SemanticRetrievalMRS IR

Reported on 6 benchmarks across 1 task · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing6 results

Question AnsweringonHotpotQA
JOINT-EM· 2019-11-09
0.356
best: 0.505 (Beam Retrieval)
SOTA
Hierarchical Graph Network for Multi-hop Question Answering arXiv:1911.03631
Question AnsweringonHotpotQA
JOINT-F1· 2019-11-09
0.599
best: 0.775 (Beam Retrieval)
SOTA
Hierarchical Graph Network for Multi-hop Question Answering arXiv:1911.03631
Question AnsweringonHotpotQA
SUP-EM· 2019-11-09
0.5
best: 0.663 (Beam Retrieval)
SOTA
Hierarchical Graph Network for Multi-hop Question Answering arXiv:1911.03631
Question AnsweringonHotpotQA
SUP-F1· 2019-11-09
0.764
best: 0.901 (Beam Retrieval)
SOTA
Hierarchical Graph Network for Multi-hop Question Answering arXiv:1911.03631
Question AnsweringonHotpotQA
ANS-EM· 2019-11-09
0.567
best: 0.727 (Beam Retrieval)
Hierarchical Graph Network for Multi-hop Question Answering arXiv:1911.03631
Question AnsweringonHotpotQA
ANS-F1· 2019-11-09
0.692
best: 0.85 (Beam Retrieval)
Hierarchical Graph Network for Multi-hop Question Answering arXiv:1911.03631