(2007) extended the LDACOL model to generate the second word of a collocation from a distribution that conditions on not only the first word but also the first word's topic assignment, proposing the topical N-gram (TNG) model.
whereas LDACOL only adds a distribution for every word-type to LDA, TNG adds a distribution for every possible word-topic pair.