The ability of the system to successfully cluster instances varies from one gold frame category to another one.
for input strings in each cluster E i , we instantiate a new G i and perform parameter fitting and splitting independently of other E i s. The corresponding probabilistic G i is initialized by assigning random parameters to its rules and then smoothing them ( § 3.1.3) by the fitted parameters for G. We apply the aforementioned process several times, until the number of independently generated clusters is at least twice as large as |T v |.