Unspecialized word embeddings (Mikolov et al., 2013;Pennington et al., 2014) capture general semantic properties of words, but are unable to differentiate between different types of semantic relations (e.g., vectors of car and driver might be as similar as vectors of car and vehicle).
we often need embeddings to be similar only if an exact lexico-semantic relation holds between the words.