Skip to main content

Table 2 Pearson and Spearman correlations coefficient score (\(\times 100\)) between model predictions and human ratings on three evaluation datasets

From: Refining electronic medical records representation in manifold subspace

Method

MayoSRS

UMNSRS-sim

UMNSRS-rel

Pearson

Spearman

Pearson

Spearman

Pearson

Spearman

BERT

24.7

24.5

28.3

26.2

31.4

28.2

Zhang

62.5

61.1

64.9

62.5

57.0

57.0

Chiu

60.4

61.5

66.3

65.2

60.0

60.1

ALBERT

24.9

25.0

28.7

26.6

31.5

28.7

BioBERT

26.0

25.5

29.8

27.4

33.4

29.4

BlueBERT

26.5

27.6

31.2

28.9

33.9

30.4

Ours

63.2

62.1

67.0

66.5

61.3

60.8

  1. Bold values denote the best result for each column of data