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Table 5 Results of meta-knowledge assignment and event extraction for EventMine-MK trained on the ST-MK corpus

From: Extracting semantically enriched events from biomedical literature

Dimension

Value

Count

R / P / F

+GENIA (R/P/F)

Majority (R/P/F)

KT

Investigation

38

76.3 / 67.4 / 71.6

68.4 / 65.0 / 66.7

0.0 / 0.0 / 0.0

Analysis

132

70.5 / 69.9 / 70.2

72.7 / 73.3 / 73.0

0.0 / 0.0 / 0.0

Observation

412

80.6 / 77.4 / 79.0

78.6 / 75.2 / 76.9

100.0 / 40.5 / 57.7

Fact

59

33.9 / 76.9 / 47.1

40.7 / 70.6 / 51.6

0.0 / 0.0 / 0.0

Method

8

0.0 / 0.0 / 0.0

0.0 / 0.0 / 0.0

0.0 / 0.0 / 0.0

Other

368

77.4 / 73.8 / 75.6

76.6 / 74.0 / 75.3

0.0 / 0.0 / 0.0

 

Macro Average

1,017

56.5 / 60.9 / 57.3

56.2 / 59.7 / 57.3

16.7 / 6.8 / 9.6

 

Micro Average

1,017

74.6 / 74.6 / 74.6

73.9 / 73.9 / 73.9

40.5 / 40.5 / 40.5

CL

L3

983

97.7 / 98.9 / 98.3

98.6 / 99.0 / 98.8

100.0 / 96.7 / 98.3

L2

30

73.3 / 48.9 / 58.7

76.7 / 62.2 / 68.7

0.0 / 0.0 / 0.0

L1

4

0.0 / 0.0 / 0.0

25.0 / 100.0 / 40.0

0.0 / 0.0 / 0.0

 

Macro Average

1,017

57.0 / 49.3 / 52.3

66.8 / 87.1 / 69.2

33.3 / 32.2 / 32.8

 

Micro Average

1,017

96.6 / 96.6 / 96.6

97.7 / 97.7 / 97.7

96.7 / 96.7 / 96.7

Polarity

Positive

975

97.5 / 98.8 / 98.1

98.2 / 98.6 / 98.4

100.0 / 95.9 / 97.9

Negative

42

71.4 / 55.6 / 62.5

66.7 / 60.9 / 63.6

0.0 / 0.0 / 0.0

 

Macro Average

1,017

84.5 / 77.2 / 80.3

82.5 / 79.8 / 81.0

50.0 / 47.9 / 48.9

 

Micro Average

1,017

96.4 / 96.4 / 96.4

96.9 / 96.9 / 96.9

95.9 / 95.9 / 95.9

Manner

High

56

78.6 / 63.8 / 70.4

76.8 / 65.2 / 70.5

0.0 / 0.0 / 0.0

Low

4

100.0 / 66.7 / 80.0

100.0 / 66.7 / 80.0

0.0 / 0.0 / 0.0

Neutral

957

97.2 / 98.7 / 97.9

97.4 / 98.6 / 98.0

100.0 / 94.1 / 97.0

 

Macro Average

1,017

91.9 / 76.4 / 82.8

91.4 / 76.8 / 82.8

33.3 / 31.4 / 32.3

 

Micro Average

1,017

96.2 / 96.2 / 96.2

96.3 / 96.3 / 96.3

94.1 / 94.1 / 94.1

Source

Current

1,003

99.8 / 99.5 / 99.7

99.9 / 99.5 / 99.7

100.0 / 98.6 / 99.3

Other

14

64.3 / 81.8 / 72.0

64.3 / 90.0 / 75.0

0.0 / 0.0 / 0.0

 

Macro Average

1,017

82.1 / 90.7 / 85.9

82.1 / 94.8 / 87.4

50.0 / 49.3 / 49.7

 

Micro Average

1,017

99.3 / 99.3 / 99.3

99.4 / 99.4 / 99.4

98.6 / 98.6 / 98.6

Event (Task 1)

1,789

55.1 / 61.7 / 58.2

Event (Task 2)

1,795

54.1 / 60.8 / 57.2

Event (Task 3)

1,997

51.6 / 59.4 / 55.3

  1. Meta-knowledge assignment performance is evaluated only on events correctly predicted by the system. Event extraction performance is evaluated using the ST evaluation tools. A majority class-based baseline is shown for reference. +GENIA shows the results obtained when the outputs of the GENIA-trained meta-knowledge assignment model are incorporated as additional features. (R)ecall/(P)recision/(F)score are reported.