ber of epochs because we observed that the models did not exhibit overtraining and instead continued to slowly improve on the development set long after reaching near 100% accuracy on the training set.
despite OntoNotes being much larger than CoNLL-2003, training for more than about 18 epochs causes performance on the development set to decline steadily due to overfitting.