Since this distant data is created using rulebased classifiers, given a large amount of training data, the baseline model can achieve high performance as it learns to infer these rules.
our aim is to improve the performance of the event ordering model on moderately sized datasets, where the knowledge induction from timex embeddings play a larger role.