We thus propose a fuzzy classification model with two layers (Ishibuchi et al., 1995) of SVM classifiers (Wang et al., 2016), which introduces the context of the task using fuzzy indicators to model the interplay between the two groups of features.
we train a local-layer SVM classifier L l using the sentence-level features X l (computed from sentences).