Combining tree kernels and tree representations to classify argumentative stances

This work investigates how the combination of different tree representations with different Tree Kernel functions influences the results of the classifications in two specific case studies. One case study is related to the classification of argumentative stances of support, the other one is related to the classification of stances of opposition. Results show that some Tree Kernels achieves not only higher results but also a higher level of generalization. Moreover, it seems that also the kind of tree representation influences the performances of classifiers. In this study, we thus explore this relation between tree representation and different Tree Kernels, considering also compositional trees.