Whichever baseline is used, we need to reserve one of the five folds to tune the parameter k in our cross validation experiments.
if the second baseline is used, we will tune CT and k jointly on the development data using the local search algorithm described previously, where we adjust the values of both CT and k for one of the 14 classifiers in each step of the search process to optimize the overall F-measure score.