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Table 2 Results over test set

From: Detecting modification of biomedical events using a deep parsing approach

Mod

RMRS from

Extra

R

P

F

SPEC

-

W + 3 - 3

6.97

23.73

10.77

SPEC

ERG

-

8.96

41.86

14.75

SPEC

fb(ERG, RASP)

-

12.44

52.08

20.08

SPEC

cb(ERG, RASP)

-

6.47

41.94

11.21

SPEC

ERG

W + 3 - 3

11.44

26.14

15.92

SPEC

fb(ERG, RASP)

W + 3 - 3

9.95

28.17

14.71 †

SPEC

cb(ERG, RASP)

W + 3 - 3

7.46

24.19

11.41

NEG

-

W + 3 - 3

19.55

30.94

23.96

NEG

-

Negex

17.83

12.73

14.85

NEG

ERG

-

11.82

35.62

17.75

NEG

fb(ERG, RASP)

-

13.64

34.09

19.48

NEG

cb(ERG, RASP)

-

12.73

33.33

18.42

NEG

ERG

W + 3 - 4

19.55

32.33

24.36

NEG

fb(ERG, RASP)

W + 3 - 4

19.55

32.58

24.43

NEG

cb(ERG, RASP)

W + 3 - 4

20.91

41.07

27.71 †

  1. Results over the test data using the UTurku Task 1 system ("fb" = fallback strategy, where we use the first source if possible, otherwise the second; "cb" = use undifferentiated RMRSs from each source to create feature vectors). † denotes the feature set which performed best over the development set using gold Task 1 annotations.