Sentence Boundary Detection for French with Subword-Level Information Vectors and Convolutional Neural Networks
Table 3: Results for CNN models.
['Model', 'Accuracy', 'Precision NO_SEG', 'Precision SEG', 'Recall NO_SEG', 'Recall SEG', 'F1 NO_SEG', 'F1 SEG']
CNN-2 and CNN-2A refer to the same convolutional neural network model but in CNN-2A is only taken into account half the value of softmax output for the ”no sentence boundary” class. This variation equilibrates Precision and Recall of CNN-2 reaching a F1 score value of 0.788.