conference-paper Open access

Graph-based Coherence Modeling For Assessing Readability

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Abstract

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

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Publication details

DOI
10.18653/v1/s15-1036
OpenAlex
W2141236834
Document type
conference-paper
Language
EN
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