Based on the assumption that related or similar class labels tend to co-occur in documents more often than unrelated labels , we expect that vector representations for similar labels will tend to be closer to each other due to the associations via documents for which such labels co-occur.
relationships of this sort could conceivably also be discoverable simply by counting co-occurrences of class labels.