In order to obtain an optimal result as measured by P C, we jointly tune the c i parameters to optimize the P C value achieved by our system on the same held-out validation data.
to do this, we train five maximum entropy classifiers for each prompt, one for each of the five thesis clarity errors, using MALLEt's (McCallum, 2002) implementation of maximum entropy classification.