Table 2 Development results Development results for the various hedge classifiers tested by 10-fold cross-validation on the biomedical abstracts and articles in the training data.
From: Predicting speculation: a simple disambiguation approach to hedge detection in biomedical literature
| Â | Sentence Level | Token Level | ||||
|---|---|---|---|---|---|---|
Model | Prec | Rec | F1 | Prec | Rec | F1 |
| 91.01 | 86.53 | 88.69 | 90.60 | 71.03 | 79.59 |
C WbW | 94.31 | 88.30 | 91.19 | 94.67 | 81.89 | 87.80 |
C Disamb | 93.64 | 89.68 | 91.60 | 94.01 | 83.55 | 88.45 |
| 93.78 | 88.45 | 91.03 | 94.05 | 81.97 | 87.58 |
