The WordNet graph has edges of various types, with the main types being hypernymy and meronymy to connect nodes containing senses.
our graph-based approach (RoUGE-G) computes semantic similarity scores between n-grams, along with their match counts, to perform both semantic and lexical comparisons of peer and model summaries.