We tune the SVM's hyperparameter based on performance on the provided development data, and use the best DIRECTL+ settings established in the NEWS 2010 Shared Task <cite>(Jiampojamarn et al., 2010b)</cite> . Armed with optimal parameter settings, we combine the training and development data into a single set used to train our final DIRECTL+ system.