For a given pair of entities in the text, the chance is rather low to find instances in the knowledge bases where the two arguments perfectly match the pair of entities, because entities in the source document might appear in aliases or abbreviations.
we then use the frequencies of these distribution patterns over the entire document as additional features into the entity-based model.