To this end, we made several assumptions about the distribution, modeled the distribution accordingly, and validated each assumption by comparing the goodness of each model.
we considered two types of word classes-the semantic class of direct objects of a verb and the semantic class in a thesaurus-and tried to build models that properly estimate how likely it is that a word in the vector space is a member of a given word class.