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Named Entity Recognition research benchmarks – Page 6 · SOTA2 Research

Named Entity Recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

BiLSTM-CNN-Char

88.95F1 Score

16

Feb 26, 2026

90.2F1 Score

16

Feb 26, 2026

MSRA standard (test)

95F1 Score

16

Feb 26, 2026

65.59F1 Score

15

Feb 26, 2026

95.53F1 (PER)

15

Mar 27, 2026

NEMO Corpus (test)

83.94Aligned MSET F1

15

Feb 26, 2026

86.4F1 Score

15

Feb 26, 2026

86.3F1 Score

15

Feb 26, 2026

BioClinicalBERT

84.6Precision

14

Mar 31, 2026

BioClinicalBERT

91.5Precision

14

Mar 31, 2026

93.6NER F1

14

Feb 26, 2026

Instruc-tUIE NER

53.15F1 Score

14

Feb 26, 2026

MCEval NER 8K (test)

0.877Accuracy

14

Feb 26, 2026

ACE05 splits of Lu and Roth (test)

88.26F1 Score

14

Feb 26, 2026

87.25F1 Score

14

Feb 26, 2026

76F1 Score

13

Jun 8, 2026

38F1 Score

13

Jun 8, 2026

43F1 Score

13

Jun 8, 2026

45F1 Score

13

Jun 8, 2026

7,804Movie Entity Score

13

Feb 26, 2026

CrossNER (test)

65.54Micro-F1

13

Jun 4, 2026

75.4Macro F1

13

Mar 13, 2026

37.3Macro F1

13

Feb 26, 2026

42.8Macro F1

13

Feb 26, 2026

59.4Macro F1

13

Feb 26, 2026

Page 6 of 26

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