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Table 4 Five Way Cross-Validation Sentence Classification Results on Structured Abstracts: Using CRFs

From: Sentence retrieval for abstracts of randomized controlled trials

  With no windowed features With windowed features
  Precision Recall F-score Precision Recall F-score
1575 abs, 21.2 k sents Accuracy = 86.30% Accuracy = 87.99%
Aim 0.99 0.99 0.99 1.00 0.99 1.00
Method 0.85 0.84 0.85 0.87 0.85 0.86
Intervention 0.86 0.80 0.83 0.88 0.82 0.85
Results 0.79 0.84 0.82 0.82 0.87 0.84
Conclusion 0.93 0.92 0.93 0.94 0.93 0.93
1740 abs, 22.9 k sents Accuracy = 95.17% Accuracy = 95.10%
Aim 0.99 0.99 0.99 0.99 0.99 0.99
Method 0.97 0.97 0.97 0.96 0.97 0.97
Outcome Measure 0.90 0.86 0.88 0.90 0.86 0.88
Results 0.95 0.96 0.95 0.94 0.96 0.95
Conclusion 0.94 0.93 0.94 0.94 0.93 0.93
2280 abs, 29.8 k sents Accuracy = 86.74% Accuracy = 88.43%
Aim 0.99 0.99 0.99 0.99 0.99 0.99
Method 0.85 0.86 0.85 0.87 0.87 0.87
Participants 0.86 0.79 0.82 0.89 0.80 0.84
Results 0.81 0.84 0.83 0.83 0.87 0.85
Conclusion 0.93 0.93 0.93 0.94 0.93 0.94
  1. Sentence classification using CRFs into five classes, for each of the three classification problems. Results report using 15-fold cross validation for a system that uses no windowed features versus a system that uses windowed features.