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Named Entity Recognition research benchmarks – Page 3 · SOTA2 Research

Named Entity Recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

90.24F1 Score

36

Apr 20, 2026

88.72F1 Score

36

Feb 26, 2026

95.74Micro F1

36

Feb 26, 2026

DiffusionSL (paper)

92.7F1 Score (AVG)

35

Jun 18, 2026

78.04Movie Entity Score

35

Apr 8, 2026

81.39F1 Score

34

Feb 26, 2026

ONTONOTES (test)

BiLSTM-CRF Flair

89.71F1 Score

34

Feb 26, 2026

83.8Macro F1 (span-level)

32

May 13, 2026

SEC-filings (test)

57.05Micro-F1

30

Feb 26, 2026

89.24F1 Score

29

Apr 8, 2026

96.01F1 Score

29

Feb 26, 2026

96.65F1 Score

28

Feb 26, 2026

67.6F1 Score

27

Feb 26, 2026

Zhu and Li (2022)

72.66F1 Score

27

Feb 26, 2026

MTSamples (test)

Centralized fine-tuning

87Strict F1

26

Feb 26, 2026

MIMIC-III (test)

Centralized fine-tuning

85.6Strict F1

26

Feb 26, 2026

UTP Two-site experiment (test)

LLaMA3-8B Centralized

90.9Strict Micro F1

26

Feb 26, 2026

NER organization

75Accuracy

26

Feb 26, 2026

57.4Accuracy

26

Feb 26, 2026

0.793Accuracy

26

Feb 26, 2026

OntoNotes Onto-C 5.0

67.58Micro F1

26

Feb 26, 2026

OntoNotes Onto-B 5.0

69.69Micro-F1

26

Feb 26, 2026

OntoNotes Onto-A 5.0

52.46Micro F1

26

Feb 26, 2026

0.582Micro F1 Score

26

Feb 26, 2026

OntoNotes to I2B2, CoNLL, WNUT, GUM 5.0 (test)

45.2I2B2 Score

26

Feb 26, 2026

Page 3 of 26

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Conll OntoNotes WikiAnn CrossNER i2b2

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