p in i } be its set of Wikipedia candidate pages (entities) 1 where n i is the number of page candidates for m i .
after Global-RNN is trained, we retrieve the representation vectorsc i for the immediate contexts of the entity mentions in the source and target domains, project them into the 2-dimension space via the t-SNE algorithm and plot them.