Possible inconsistencies are resolved by adjudication, and models are induced assuming there is one single ground truth.
there exist linguistically hard cases where there is no clear answer (Zeman, 2010;Manning, 2011), and incorporating such disagreements into the training of a model has proven helpful for POS tagging (Plank et al., 2014a;Plank et al., 2014b).