Table 4 F1 scores with standard deviations on CrossNER.

From: UnionPromptNER serves as a union prompting method to bridge few-shot named entity recognition

Models

CoNLL03

GUM

WNUT

OntoNotes

Avg.

1-shot

DecomposedMetaNER

45.83±0.25

16.34±0.33

25.01±0.68

34.76±0.24

30.49

SimBERT

19.22

6.91

5.18

13.99

11.32

TransferBERT

4.75±1.42

0.57±0.32

2.71±0.72

3.46±0.54

2.87

ProtoBERT

32.49±2.01

3.89±0.24

10.68±1.40

6.67±0.46

13.43

Matching Network

19.50±0.35

4.73±0.16

17.23±2.75

15.06±1.61

14.13

L-TapNET+CDT

44.30±3.15

12.04±0.65

20.80±1.06

15.17±1.25

23.08

UnionPromptNER

46.31±0.61

19.58±0.45

27.62±0.87

35.69±0.53

32.3

5-shot

DecomposedMetaNER

58.04±0.63

30.68±0.46

31.03±2.04

45.61±0.77

41.34

SimBERT

32.01

10.63

8.20

21.14

18

TransferBERT

15.36±2.81

3.62±0.57

11.08±0.57

35.49±7.60

16.39

ProtoBERT

50.06±1.57

9.54±0.4 4

17.26±2.65

13.59±1.61

22.61

Matching Network

19.85±0.74

5.58±0.23

6.61±1.75

8.08±0.47

10.03

L-TapNET+CDT

45.35±2.67

11.65±2.34

23.30±2.80

20.95±2.81

25.32

UnionPromptNER

62.04±0.33

42.06±0.88

30.54±0.67

47.98±0.18

45.68