In another effort, (Zhu et al., 2006) propose TagLDA, where they replace the unigram word distributions by a factored representation that is conditioned on the topic and the part-of-speech tag of a term.
to sample from the Archimedean copulas, we rely on the algorithm proposed by (Marshall and Olkin, 1988), which was further improved in (McNeil, 2008;Hofert, 2011) and implemented in the R language .