. . . . "The first step involves the creation of the training set: we leverage the crowdsourcing platform CROWDFLOWER 16 and the method described in [18], which requires users to detect the core FEs: these are the fundamental items to distinguish between frames, as opposed to extra ones, thus allowing to automatically induce the correct frame. The training set has a double outcome, as it will feed two classifiers: one will identify FEs, and the other is responsible for frames." . . . . "2019-11-10T12:34:11+01:00"^^ . .