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Table 1 Performance for PK DDI extraction on the in vivo dataset

From: Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature

Methods

P

R

F 1

DEP

78.79 %

73.24 %

75.91 %

PASa

79.80 %

76.06 %

77.88 %

DEP_SCa

83.01 %

80.28 %

81.62 %

PAS_SCa,b

82.91 %

77.46 %

80.10 %

DEP_ReSCa

80.82 %

83.10%

81.94 %

PAS_ReSCb

84.88 %

68.54 %

75.84 %

  1. Totally, six different methods were implemented. The abbreviation DEP stands for the dependency-based graph kernel, PAS stands for the graph kernel based on predicate-argument-structure, SC stands for semantic class information, and ReSC stands for refined semantic class information. DEP_SC means that semantic class information is incorporated into the dependency-based graph kernel. Precision (P), Recall (R) and F-measure (F 1 ) were reported for each method. The highest performance under each evaluation criterion is bolded.
  2. a means the performance difference between the underlying method and DEP is statistically significant
  3. b means the performance difference between the underlying method and PAS is statistically significant. (p-value < 0.05)