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Table 6 Results of evaluation using a fixed split over 381 paragraphs (training set: 75% or 286 paragraphs; held-out set: 25% or 95 paragraphs), using exact matching

From: Supporting the annotation of chronic obstructive pulmonary disease (COPD) phenotypes with text mining workflows

  Concept recognisers currently in Argo Concept recognisers trained on our corpus
  Precision Recall F-score Precision Recall F-score
AnatomicalConcept 0.2602 0.6145 0.3656 0.8000 0.4314 0.5605
Drug 0.6885 0.1900 0.2979 0.7966 0.4196 0.5497
MedicalCondition 0.4494 0.2492 0.3206 0.8673 0.3899 0.5380
TestOrMeasure 0.0250 0.0041 0.0070 0.6719 0.2966 0.4115
Treatment 0.4111 0.0847 0.1404 0.8400 0.2903 0.4315
Micro-average 0.3735 0.1614 0.2254 0.8034 0.3552 0.4926
Macro-average 0.3669 0.2285 0.2816 0.7952 0.3656 0.5009