These methods can efficiently estimate the co-occurrence statistics to model contextual distributions from very large text corpora and they have been demonstrated to be quite effective in a number of NLP tasks.
firstly, many different types of semantic knowledge can all be represented as a number of such ranking inequalities, such as synonymantonym, hyponym-hypernym and etc.