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In this particular paper, we posit that coherent texts inherently manifest a sequential and cohesive interaction amongst sentences, effectively conveying the central concept, intent, or standpoint. To investigate this summary partnership, we introduce the "BB Score," a novel reference-cost-free metric grounded in Brownian bridge idea for assessing text coherence.
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Watch PDF HTML (experimental) Abstract:Measuring the coherence of textual content is an important aspect of analyzing the quality of written information. Latest developments in neural coherence modeling have shown their efficacy in capturing entity coreference and discourse relations, thereby maximizing coherence evaluation. However, a lot of existing procedures seriously depend upon static embeddings or target narrowly on nearby context, constraining their potential to measure the overarching coherence of lengthy texts. In this paper, we posit that coherent texts inherently manifest a sequential and cohesive interaction amid sentences, successfully conveying the central topic, function, or standpoint. To investigate this abstract romance, we introduce the "BBScore," a novel reference-cost-free metric grounded in Brownian bridge theory for examining text coherence.
This romance may perhaps vary throughout distinctive cases, people today, as well as over time for a similar particular person. To simplify this idea and increase its accessibility, we presume that this marriage stays constant within a fastened domain or dataset.
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