Work on annotator rationales (Zaidan et al., 2007;Zaidan and Eisner, 2008) seeks to model why annotators labeled a document a certain way-in other words, what "caused" the document to have its label?
ive estimation, negative training examples are synthesized by perturbing positive instances.