Instead of tuning a parameter like γ, it would be preferable to let the data dictate the number of entity clusters.
we thus consider a non-parametric Bayesian mixture model where the mixtures are multinomial distributions over the entity contexts S. we consider a DPMM, which automatically infers the number of mixtures.