One potential explanation for the superior performance of the tiered model vs. the DPMM multiprototype model is simply that it allocates more clusters to represent each word (Reisinger and Mooney, 2010).
we find that decreasing the hyperparameter β (decreasing vocabulary smoothing and hence increasing the effective number of clusters) beyond β 0.1 actually hurts multiprototype performance.