A Probabilistic Approach to Semantic Representation

by Thomas L. Griffths and Mark Steyvers

This paper actually introduces a Gibbs sampler for LDA model. The Gibbs sampler, however, does not sample all latent variables. Only latent topics are sampled. I guess many DP models actually are making inferences in this way. But is this the so-called Bayesian way of learning? Sampling ?= learning. Well.... I don't know why they may do this. I have to see more...