We first trained the initial model on sections 02-21 of the WSJ corpus using the original head rules, and then ran the Inside-Outside algorithm on the same data.
since the resulting model is quite large, if an event at a particular point in the derivation forest has an expected count below 10 −15 , we throw it out.