GDPNet

Reported on 3 benchmarks across 1 task · 1 paper · 2 SOTA

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

Natural Language Processing3 results

Relation ExtractiononDialogRE
F1 (v1)· 2020-12-12
64.9
best: 75.1 (GRASP_Large)
SOTA
GDPNet: Refining Latent Multi-View Graph for Relation Extraction arXiv:2012.06780
Relation ExtractiononDialogRE
F1c (v1)· 2020-12-12
60.1
best: 66.7 (GRASP_Large)
SOTA
GDPNet: Refining Latent Multi-View Graph for Relation Extraction arXiv:2012.06780
Relation ExtractiononTACRED
F1· 2020-12-12
70.5
best: 86.6 (RAG4RE)
GDPNet: Refining Latent Multi-View Graph for Relation Extraction arXiv:2012.06780