Existing word embedding models (Collobert et al., 2011;Mikolov et al., 2013;Pennington et al., 2014) can be used for readability assessment, but the effectiveness is compromised by the fact that these models typically focus on the syntactic or semantic relations of words, while ignoring the reading difficulty.
from Table  4, the model KEWE h gets the best performance among all the embedding baselines, including SG+KV, which also takes in both knowledge and text corpus.