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Table 6 Numbers of false positive PASMED’s relations according to the two annotators

From: Wide-coverage relation extraction from MEDLINE using deep syntax

  C1 C2 Both Total
Annotator A 257 120 66 443
Annotator B 311 50 17 378
Mean 284 85 41.5 410.5
  69.18% 20.71% 10.11%  
  1. We have classified them into three types of errors: C1–false positives caused by incorrect entity extraction (criterion 1), C2–false positives caused by not presented explicitly by linguistic expressions (criterion 2), and Both–false positives due to both C1 and C2.