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Table 2 Performance (F-score) of chunkers and their combination trained on subsets of different size of the GENIA GSC and on the GSC subset supplemented with an SSC, for noun-phrase and verb-phrase recognition.

From: Training text chunkers on a silver standard corpus: can silver replace gold?

 

Lingpipe

OpenNLP

Yamcha

Combined

GSC size

GSC

GSC+SSC

GSC

GSC+SSC

GSC

GSC+SSC

GSC

GSC+SSC

Noun phrases

        

10

65.8%

80.8%

83.0%

87.9%

82.7%

85.6%

86.8%

90.7%

25

72.2%

81.1%

85.7%

88.3%

84.3%

86.0%

87.9%

90.9%

50

76.8%

81.3%

87.5%

88.6%

85.4%

86.2%

88.9%

91.2%

100

78.2%

81.9%

87.9%

88.9%

85.6%

86.6%

89.3%

91.5%

250

82.4%

82.8%

88.3%

89.3%

86.7%

87.2%

90.6%

92.0%

500

84.5%

n.a

89.7%

n.a

88.1%

n.a

92.8%

n.a

Verb phrases

        

10

64.1%

86.9%

84.3%

93.6%

86.2%

92.5%

91.3%

94.6%

25

73.8%

87.3%

88.8%

94.0%

89.7%

92.9%

93.0%

94.9%

50

79.2%

87.6%

92.1%

94.4%

91.7%

93.1%

94.4%

95.5%

100

83.6%

87.9%

93.6%

94.7%

92.3%

93.4%

95.4%

95.8%

250

88.3%

88.7%

95.0%

95.3%

93.8%

93.9%

95.8%

96.0%

500

90.3%

n.a

95.7%

n.a

94.1%

n.a

96.3%

n.a