sub:assertion {
sub:paragraph c4o:hasContent "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." ;
a doco:Paragraph .
}