For metrics which require a probability distribution, we pass the vectors through a sigmoid to obtain if we know both that (Greeks, are, mortal) and (men, are, mortal).
since the number of similar facts is likely to be small relative the number of candidate facts considered, this approach has the risk of losing the signal in the noise of uninformative candidates.