Graph-based Coherence Modeling For Assessing Readability
Mohsen Mesgar, Michael Strube · 2015
Readability depends on many factors ranging from shallow features like word length to semantic ones like coherence.We introduce novel graph-based coherence features based on frequent subgraphs and compare their ability to assess the readability of Wall Street Journal articles.In contrast to Pitler and Nenkova (2008) some of our graph-based features are significantly correlated with human judgments.We outperform Pitler and Nenkova (2008) in the readability ranking task by more than 5% accuracy thus establishing a new state-of-the-art on this dataset.