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Named Entity Recognition research benchmarks – Page 24 · SOTA2 Research

Named Entity Recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ADE 10-fold cross-validation v1 (test)

Eberts and Ulges

0.893Precision

3

Feb 26, 2026

Ontonotes Uncased (test)

Data augmentation (Mayhew et al. 2019)

84.3F1 Score

3

Feb 26, 2026

CoNLL Uncased (test)

Data augmentation (Mayhew et al. 2019)

87.9F1 Score

3

Feb 26, 2026

GermEval 2014 (Official)

80.28Precision

3

Feb 26, 2026

82.14F1 Score

2

Jun 2, 2026

Second HAREM Golden Collection

79.75Precision

2

May 13, 2026

vocabulary trimming

391.43Latency (s)

2

Mar 6, 2026

Homophone (test)

83.33Recall

2

Feb 26, 2026

AISHELL-1 (test)

0.956Recall

2

Feb 26, 2026

Science English

62.29F1 Score

2

Feb 26, 2026

Politics English

63.65F1 Score

2

Feb 26, 2026

62.97F1 Score

2

Feb 26, 2026

Literature English

59.68F1 Score (%)

2

Feb 26, 2026

65.04F1 Score

2

Feb 26, 2026

91.5Micro F1

2

Feb 26, 2026

88.9Micro-F1

2

Feb 26, 2026

MIT Restaurant Review

20.99Micro F1

2

Feb 27, 2026

WikiAnn ar (test)

90.3Type-Aware F1

2

Feb 26, 2026

WikiAnn ko (test)

89.6Type-aware F1

2

Feb 26, 2026

WikiAnn es (test)

92.1Type-aware F1

2

Feb 26, 2026

MIT Movie (test)

71.2Type-aware F1

2

Feb 26, 2026

MIT Restaurant (test)

0.796Type-aware F1

2

Feb 26, 2026

Russian WikiNER canonical (test)

92.9F1 Score

2

Feb 26, 2026

79.11F1 Score

2

Feb 26, 2026

WNUT Shared Task 1 (Wet Lab Protocols) 2020 (test)

biobert_v1.1_pubmed

79.54F1 Score

2

Feb 26, 2026

Page 24 of 26

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Conll OntoNotes WikiAnn CrossNER i2b2

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