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Table 2 Evaluation results for the NCB14 dataset.

From: Building a protein name dictionary from full text: a machine learning term extraction approach

 

Textractor

NLProt

Union

PubMedID

Correct

Incorrect

Precision

Rel. Recall

Correct

Incorrect

Precision

Rel. Recall

Correct

12629548

41

19

68%

67%

37

77

32%

59%

63

12629549

38

3

93%

84%

32

79

29%

40%

50

12640462

23

17

58%

100%

1

13

7%

4%

23

12640463

18

17

51%

36%

46

77

37%

87%

53

12640464

67

18

79%

72%

50

26

66%

50%

100

12669071

14

8

64%

54%

19

35

35%

73%

26

12669072

14

3

82%

65%

18

27

40%

51%

26

12669073

27

1

96%

81%

25

31

45%

53%

39

12669075

19

7

73%

73%

16

26

38%

47%

26

12669077

19

5

79%

73%

16

38

30%

39%

28

12669082

86

26

77%

68%

82

87

49%

65%

126

12669083

64

13

83%

58%

81

74

52%

72%

112

12679784

25

7

78%

58%

26

37

41%

60%

43

12692559

54

26

68%

60%

67

77

47%

55%

99

micro-evaluation

509

170

75%

63%

516

704

42%

63%

814

macro-evaluation

  

75%

67%

  

39%

54%

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