For computation, each word is represented by a weighted feature vector, where features typically correspond to words that co-occur in a particular context.
dSMs tend to retrieve both synonyms (such as formal-conventional) and antonyms (such as formal-informal) as related words and cannot sufficiently distinguish between the two relations.