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Table 8 F-Measure results when using each individual feature alone

From: A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment

  

a

b

c

d

e

f

g

h

i

j

k

S1

OBJ

.39

.83

.71

.69

.52

.45

.45

.45

.54

.39

-

 

METH

-

.47

.81

.74

.63

.49

-

.46

.03

.42

.51

 

RES

-

.76

.85

.86

.76

.70

.72

.69

.70

.68

.54

 

CON

-

.72

.70

.65

.63

.53

.49

.57

.68

.20

-

S2

BKG

.26

.73

.69

.67

.45

.38

.56

.33

.33

.29

-

 

OBJ

-

.13

.72

.68

.54

.63

-

.49

.48

.20

-

 

METH

-

.50

.81

.72

.64

.47

-

.47

.03

.42

.51

 

RES

-

.76

.85

.87

.76

.72

.72

.70

.69

.68

.54

 

CON

-

.70

.73

.71

.62

.51

.40

.61

.67

.23

-

 

REL

-

-

-

-

-

-

-

-

-

-

-

 

FUT

-

-

-

-

-

-

-

-

-

-

-

S3

HYP

-

-

-

-

.67

-

-

-

-

-

-

 

MOT

.18

.57

.70

.49

.39

.13

.36

.33

.30

.40

-

 

BKG

-

-

.54

.40

.21

-

-

.11

.06

.06

-

 

GOAL

-

-

.53

.33

.22

-

.19

.31

-

.25

-

 

OBJT

-

-

.73

.63

.60

.10

-

.26

.32

-

-

 

EXP

-

.22

.63

.46

.33

.30

-

.31

.07

.44

.25

 

MOD

-

-

-

-

-

-

-

-

-

-

-

 

METH

-

-

.82

.61

.39

.39

-

.50

-

.37

-

 

OBS

-

.59

.75

.71

.63

.56

.56

.54

.48

.52

.47

 

RES

-

-

.87

.73

.41

.34

-

.38

.24

.35

-

 

CON

-

.74

.68

.65

.65

.50

.48

.49

.55

.21

-

  1. a-k: History, Location, Word, Bi-gram, Verb, Verb Class, POS, GR, Subj, Obj, Voice