1. An object association mining system, comprising: a mining component receiving a plurality of sets of objects and having access to a text corpus; a generative model identifying and storing associative relationships among objects in the sets of objects based on a plurality of different types of co-occurrences of the objects in the text corpus, the plurality of different types of co-occurrences including at least a first type, a second type, a third type, and a fourth type, the first type comprising co-occurrences of two objects from different sets of objects within the text corpus, the second type comprising co-occurrences of objects in at least three different sets of objects within the text corpus, the third type comprising co-occurrences of objects in different contexts within the text corpus and being a subset of the first type of co-occurrences, and the forth type comprising co-occurrences of objects within each set in the sets of objects within the text corpus, the generative model combining the at least four different types of co-occurrences to identify latent associations between the sets of objects that are not express in the text corpus wherein the generative model comprises a separable mixture model that estimates a probability of latent associations between first and second objects by estimating a probability of the first object and the second object co-occurring in a type of co-occurrence for a plurality of different types of co-occurrences with a type variable that identifies the type of co-occurrence; and a computer processor activated by the mining component and the generative model, to facilitate identifying and storing the associative relationships.