In order to better understand the performance gap in the domain adaptation experiments for EL, we visualize the representation vectors of the entity mentions in different domains.
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.