This method is based on a two-layer graphical model, the first layer corresponding to  a relation classifier at the mention level, while the second layer is aggregating the different prediction for a given entity pair.
this second layer capture dependencies between relation labels, such as the fact that two labels cannot be generated jointly (e.g.