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Table 4 Experimental results.

From: Automatic recognition of topic-classified relations between prostate cancer and genes using MEDLINE abstracts

   

Baseline with NE filter

 

RR with NER (feature)

RR with NER (filter)

Topic-classified Relations

(%)

Baseline w/o NER

Automatic

Manual

RR w/o NER

Automatic

Manual

Automatic

Manual

Any relation

P

81.1

91.8

96.7

90.9

91.5

97.0

92.1

97.1

(3196)

R

100.0

97.0

100.0

96.1

96.1

99.6

96.5

99.6

Study description

P

26.7

30.2

31.8

66.9

67.5

70.8

67.6

70.6

(1050)

R

100.0

97.2

100.0

56.7

57.6

63.0

62.9

62.9

Genetic variation

P

7.1

8.1

8.4

79.3

78.6

81.9

79.4

83.1

(278)

R

100.0

98.9

100.0

69.1

67.3

70.1

73.6

73.6

Gene expression

P

27.1

30.8

32.3

73.4

73.0

76.2

73.5

76.8

(1067)

R

100.0

97.4

100.0

61.4

61.4

64.5

63.5

64.9

Epigenetics

P

1.3

1.6

1.6

85.7

86.0

85.7

88.1

88.1

(53)

R

100.0

100.0

100.0

67.9

69.8

67.9

69.8

69.8

Pharmacology

P

9.1

10.3

10.9

65.7

66.1

66.7

63.7

67.2

(360)

R

100.0

96.1

100.0

43.1

44.7

45.0

44.4

45.3

Clinical marker

P

31.5

35.9

37.5

77.4

77.9

78.2

76.6

78.3

(1240)

R

100.0

97.8

100.0

72.3

73.2

74.0

73.6

75.4

  1. Notes) Numbers in the first column: frequency of correct predictions, NER: ML-based NER, RR: ML-based topic-classified relation recognition, Automatic: experiments using ML-based NER results, Manual: experiments using human-generated NER annotation results, P: precision, R: relative recall.