Argument Mining; Argumentation; Tree kernels; Evidence detection
Résumé :
[en] The purpose of this study is to deploy a novel methodology for classifying argumentative support (or evidence) in arguments. The methodology shows that Tree Kernel can discriminate between different types of argumentative evidence with high scores, while keeping a good generalization. Moreover, the results of two different Tree Kernels are evaluated.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
LIGA, Davide ; University of Luxembourg > Faculty of Science, Technology and Medecine (FSTM)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Comparing Tree Kernels performances in argumentative evidence classification