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Open Information Extraction On Benchie

Metrics

F1

Precision

Recall

Results

Performance results of various models on this benchmark

Model Name	F1	Precision	Recall	Paper Title	Repository
CompactIE	0.318	0.414	0.258	CompactIE: Compact Facts in Open Information Extraction
Stanford OIE	0.13	0.11	0.16	BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation
OpenIE6	0.25	0.31	0.21	BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation
ClausIE	0.34	0.50	0.26	BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation
MinIE	-	0.43	0.28	BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation
ROIE-T	0.13	0.37	0.08	BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation
Naive OIE	0.03	0.03	0.02	BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation
M2OIE (ZH)	0.17	0.26	0.13	BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation
ROIE-N	0.13	0.20	0.09	BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation
M2OIE (EN)	0.23	0.39	-	BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation
M2OIE (DE)	0.04	0.09	0.03	BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation

0 of 11 row(s) selected.