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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)