Table 7 Test accuracy of XLG-Net on the text classification datasets.

From: A hybrid re-fusion model for text classification

Mixup layer set

MR

\(\Delta _{MR}\)

Ohsumed

\(\Delta _{Ohsumed}\)

R52

\(\Delta _{R52}\)

R8

\(\Delta _{R8}\)

\(\varnothing\)

87.03

0

72.66

0

96.44

0

98.29

0

{1}

88.29

+1.26

72.92

+0.26

96.46

+0.02

98.33

+0.04

{1,2}

88.07

+1.04

72.70

+0.04

96.44

0

98.31

+0.02

{3,4,5}

88.33

+1.30

72.97

+0.31

96.46

+0.02

98.33

+0.04

{5,6}

88.16

+1.13

72.75

+0.09

96.45

+0.01

98.32

+0.03

{3,6,9}

88.35

+1.32

73.21

+0.55

96.48

+0.04

98.38

+0.09

{7,8,9}

88.31

+1.28

73.19

+0.53

96.48

+0.04

98.36

+0.07

{6,7,9,12}

88.29

+1.26

73.12

+0.46

96.47

+0.03

98.34

+0.05

{9,10,12}

88.57

+1.54

73.34

+0.68

96.50

+0.06

98.41

+0.12

{3,4,6,7,9,12}

88.22

+1.19

73.07

+0.41

96.46

+0.02

98.33

+0.04

  1. Means no interpolation, \(\Delta\) indicates the gap to the baseline with no augmentation.