Note that our definition of a topic, namely the top N features from a distributional vector, does not correspond to a topic generated by a latent variable model, because it does not have a probability distribution over words.
the TC measures we adopt do not make use of such a probability distribution except for choosing the top N words from a topic, which are then treated as an unordered set for the pairwise operations.