Given that the amount of contextual information gathered for a concept can be small, the resulting word-based vector can be sparse and as a consequence prone to noise, especially in the case of less frequent concepts.
given a pair of concepts, we first use the procedure described in Section 2 to obtain for each concept the two corresponding vector representations, i.e., word-based and synset-based.