These approaches enable word representations to properly capture the distributional hypothesis by measuring the commonality of the linguistic contexts of word occurrences.
this may be due to the fact that the tags attached to an image are tightly associated with the image, whereas linguistic contexts, or context windows, are more generous to include weakly associated words.