In this paper, for the evaluation of text coherence, we go beyond strict entity matching and model the semantic relatedness between distinct entities through the use of world knowledge.
we incorporate world knowledge into two existing frameworks: (1) the unsupervised graph-based model (G&S), and (2) the supervised entity-grid model (B&L).