In this paper we estimate the global knowledge through Bayesian inference by also incorporating the knowledge generation process into our model.
given the topic number T, the entity number E, the name number K and the word number V, the entity-topic model generates the global knowledge as follows: 1) Áj¯» Dir (¯) Áj¯» Dir(¯) For each topic z, our model samples its entity distribution Á z Á z from an E-dimensional Dirichlet distribution with hyperparameter ¯.