This alteration, at the instance level, yields new sets of instances which range from easy (the semantics and the label of the new instance are the same to those of the original instance) to challenging (both semantics and label of the new instance change with respect to those of the original instance), but all of them remain easy to annotate for a human.
the CE model performs quite poorly at both samples (0.508 and 0.48 accuracy points on E A and E TA ); this drop in performance, with respect to the in situ condition, suggests that the repeated sentence context is too different from the structure of the training instances for the CE model to generalize effectively.