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SOTA
Relationship Extraction (Distant Supervised)
Relationship Extraction Distant Supervised On
Relationship Extraction Distant Supervised On
Metrics
P@10%
P@30%
Results
Performance results of various models on this benchmark
Columns
Model Name
P@10%
P@30%
Paper Title
KGPOOL
92.3
86.7
KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction
RECON
87.5
74.1
RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network
CGRE
84.5
71.5
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs
BGWA
70.9
52.4
Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention
PCNN+ATT
69.4
51.8
-
PCNN
61.3
46.5
-
REDSandT
-
-
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings
BiGRU+WLA+EWA
-
-
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning
BGRU-SET
-
-
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning
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Relationship Extraction Distant Supervised On | SOTA | HyperAI