First, we showed that maximizing the type of linguistic information might not be the best path to go, since a model based on four lexico-syntactic features yielded predictions as accurate as those of a model relying on our Exp1 set of variables.
this finding might be partly accounted by the lower predictive power of the features from the semantic and specific-to-FFL family, with the notable exception of the LSA-based predictor (avLocalLsa-Lem), which is the third best predictor when considered alone.