We demonstrate the effectiveness of the extracted features in a supervised binary classification task for MCCR with MaxEnt classifiers (using the combined feature set) as well as using semi-supervised methods of co-training MaxEnt classifiers and training MaxEnt models using posterior regularization (using two independent views of the data -semantic view and temporal view).
we show that MCRR can be performed using semi-supervised learning with semantic and temporal views of the data.