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Table 7 Four Way Sentence Classification Results on Manually Annotated Abstracts

From: Sentence retrieval for abstracts of randomized controlled trials

  All Abstracts Structured Subset Unstructured Subset
  Accuracy = 94.82% Accuracy = 98.05% Accuracy = 87.55%
  P R F P R F P R F
Aim 0.98 0.91 0.94 0.99 0.99 0.99 0.96 0.78 0.85
Method 0.89 0.96 0.93 0.97 0.97 0.97 0.74 0.93 0.83
Results 0.97 0.94 0.96 0.98 0.98 0.98 0.95 0.85 0.90
Conclusion 0.97 0.99 0.98 0.99 0.99 0.99 0.94 0.97 0.95
  1. Sentence classification using CRFs into four rhetorical roles on manually annotated data set. The CRF model was trained on 13.6 k set of structured abstracts. Precision (P), Recall (R) and F-score (F) are reported for each label over the entire data set (318), the structured subset (211) and unstructured subset (107).