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Named Entity Recognition research benchmarks – Page 11 · SOTA2 Research

Named Entity Recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

95.2Macro F1

9

May 13, 2026

87Exact Precision

9

Feb 26, 2026

CrossNER zero-shot (test)

UniNER-7B (refined)

64F1 (Literature)

9

Feb 26, 2026

LivingNER (test)

95.7Precision

9

Feb 26, 2026

SocialDisNER (test)

SpanPred x SEQ x SeqCRF

90.8Precision

9

Feb 26, 2026

74.3F1 Score

9

Feb 27, 2026

NEMO Token-level

89.86F1

9

Feb 26, 2026

CBS SciTech News (test)

76.38F1 Score

9

Feb 26, 2026

64.3Micro-F1

9

Feb 26, 2026

MIT corpus Movie1 (test)

61.3Micro F1

9

Feb 26, 2026

People's Daily (dev)

96.3Precision

9

Feb 26, 2026

MSRA-NER (test)

96.4Precision

9

Feb 26, 2026

Our Proposed Variant

67.03F1 Score

9

Feb 26, 2026

CoNLL03 Relabeled (test)

95.88F1 Score

9

Feb 26, 2026

BiLSTM-CNN-Char

84.41F1 Score

9

Feb 26, 2026

CoNLL Dutch 2002 original (test)

Transformer-Linear

95.21F1 Score

9

Feb 26, 2026

Weibo WB (test)

69.8F1 Score

9

Feb 26, 2026

Lample et al. (2016)

78.76F1 Score

9

Feb 26, 2026

State-of-the-art

73.21F1 Score

9

Feb 26, 2026

Basque Egunkaria

80.66Precision

9

Feb 26, 2026

GermEval M3 metric - Inner NEs 2014 (test)

65.49Precision

9

Feb 26, 2026

CoNLL Dutch 2002 (dev)

84.65Precision

9

Feb 26, 2026

83.24Precision

8

Jun 19, 2026

DP-SGD (no replay)

24.9Backward Transfer (BWT)

8

Jun 2, 2026

65.2Macro F1

8

May 13, 2026

Page 11 of 26

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