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Table 2 Performance for PK DDI extraction on the in vitro dataset

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

Methods P R F 1
DEP 43.43 % 63.24 % 51.50 %
PASa 73.03 % 62.07 % 67.68 %
DEP_SCa 70.32 % 61.93 % 65.86 %
PAS_SCa,b 69.23 % 66.48 % 67.83 %
DEP_ReSCa 70.76 % 67.98% 69.34 %
PAS_ReSCa,b 74.83 % 62.50 % 68.11 %
  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)