The SVM model, on the other hand, achieves an 89% accuracy when trained with the larger MUC-4 training data, compared to 84% accuracy for the model trained from the 100 manually labeled documents.
the sentential event recognizer models used in our unified IE framework (described in Section 4.4) are trained with this 1300 document training set.