Thanks to the nice properties of kernel-based learning method and SVM classifier, we propose leveraging on the kernelized SVM learning algorithm to address the problem.
we propose using convolution tree kernel to capture the structured features and design a composite kernel to combine the structured features and other linear features for phrase reordering.