The IC-based measures are computed based on relative frequencies of words in a large corpus. Synset frequencies
are computed by adding up the frequencies of all words that belong to a Synset. These measures can not be computed between
synsets with different word categories
The Jiang and Conraths measure includes knowledge about the individual information contents of each synset.
The smaller the difference of the information content of the two synsets, the more related they are.
The lin measure takes the individual information contents of each synset and the information content of the
LCS into account. The LCS with the highest information content is used for the computation.
Two concepts are more related the more information they share. The shared information of two
concepts can be quantified by the information content of two concepts' lowest common subsumer.
When several LCS are available the highest IC is returned.