Relationship Extraction Distant Supervised On

Métriques

P@10%

P@30%

Résultats

Résultats de performance de divers modèles sur ce benchmark

			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

0 of 9 row(s) selected.