Measuring the coherence of text is a significant aspect of evaluating the quality of created written content. Modern improvements in neural coherence modeling have demonstrated their efficacy in capturing entity coreference and discourse relations, thus maximizing coherence analysis.

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• We layout a flexible score measurement according to the Brownian bridge which can be applied To judge the general coherence of the text and In a natural way healthy into any downstream jobs.

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Text coherence is the standard of a created or spoken textual content which makes it internally dependable, rational, and easily understandable on the reader or listener.

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See PDF HTML (experimental) Summary:Measuring the coherence of text is a vital facet of evaluating the caliber of prepared articles. Latest progress in neural coherence modeling have shown their efficacy in capturing entity coreference and discourse relations, therefore improving coherence evaluation. However, several present strategies greatly count on static embeddings or target narrowly on close by context, constraining their capacity to evaluate the overarching coherence of lengthy texts. With this paper, we posit that coherent texts inherently manifest a sequential and cohesive interplay between sentences, successfully conveying the central concept, goal, or standpoint. To explore this summary romance, we introduce the "BBScore," a novel reference-cost-free metric grounded in Brownian bridge concept for evaluating text coherence.

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