The similarity is computed based on statistics such as co-occurrence which are unable to accommodate the subtlety that whether two words labeled as similar are truly similar depends on which topic they appear in, as explained by the aforementioned examples.
to generate a document d, PtM first samples a topic proportion vector, then for each word w in d, samples a topic indicator z and generates w from the topic-word multinomial corresponding to topic z.