Figure 2 illustrates the LinkLDA model in the plate notation, which is analogous to the model in (Erosheva et al., 2004).
note that each a i is drawn from a different hidden topic z i , however the z i 's are drawn from the same distribution θ r for a given relation r. To facilitate learn- ing related topic pairs between arguments we employ a sparse prior over the per-relation topic distributions.