Joint Entity And Relation Extraction On 3

Relation F1

Results

Performance results of various models on this benchmark

		Paper Title
REBEL+pretraining	47.1	REBEL: Relation Extraction By End-to-end Language generation
REBEL	41.8	REBEL: Relation Extraction By End-to-end Language generation
Joint-M+GC	40.62	Modeling Task Interactions in Document-Level Joint Entity and Relation Extraction
JEREX	40.38	An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning
REXEL	39.06	REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking
seq2rel	38.2	A sequence-to-sequence approach for document-level relation extraction

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