After several feature selection trials, we chose the following features for each node n: • lemma or stem of the label of n, • label of the relation between n and its head, After an optimization round of the parameters available in the SVM implementation, the hypernode identification achieved over the gold development set 99.78% precision and 99.02% recall (and thus 99.4% F1).
only very few hypernodes are not identified correctly.