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Measuring the coherence of textual content is a vital facet of analyzing the quality of published content material. New developments in neural coherence modeling have demonstrated their efficacy in capturing entity coreference and discourse relations, thus enhancing coherence evaluation.Analyzing the coherence of text needs the evaluator to differe