Joint Entity And Relation Extraction On

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Cross Sentence

Entity F1

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

			Paper Title
SpERT.PL (SciBERT)	No	70.53	Joint Entity and Relation Extraction from Scientific Documents: Role of Linguistic Information and Entity Types
SpERT	No	70.33	Span-based Joint Entity and Relation Extraction with Transformer Pre-training
SpERT (with overlap)	No	70.3	Span-based Joint Entity and Relation Extraction with Transformer Pre-training
TriMF	-	70.17	A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction
PL-Marker	Yes	69.9	Packed Levitated Marker for Entity and Relation Extraction
Ours: cross-sentence	Yes	68.9	A Frustratingly Easy Approach for Entity and Relation Extraction
MGE	No	68.4	A Multi-Gate Encoder for Joint Entity and Relation Extraction
DyGIE++	Yes	67.50	Entity, Relation, and Event Extraction with Contextualized Span Representations
PFN	No	66.8	A Partition Filter Network for Joint Entity and Relation Extraction
DyGIE	Yes	65.2	A General Framework for Information Extraction using Dynamic Span Graphs
SciIE	No	64.20	Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

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Joint Entity And Relation Extraction On | SOTA | HyperAI