Table 1 Internal evaluation metrics during development using only the Convolutional Neural Network (CNN) or the combination of the NegEx layer with the CNN (NegEx + CNN) applied on the test set containing 705 cNEs
Precision | Recall | F1-score | |||||
|---|---|---|---|---|---|---|---|
N | CNN | NegEx + CNN | CNN | NegEx + CNN | CNN | NegEx + CNN | |
Non-affirmative | 203 | 0.85 | 0.86 | 0.81 | 0.84 | 0.83 | 0.85 |
Affirmative | 502 | 0.93 | 0.93 | 0.94 | 0.94 | 0.93 | 0.94 |
Accuracy | 705 | 0.91 | 0.91 | ||||
Macro average | 705 | 0.89 | 0.90 | 0.88 | 0.89 | 0.88 | 0.89 |
Weighted average | 705 | 0.91 | 0.91 | 0.91 | 0.91 | 0.91 | 0.91 |