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A Methodology for Extrinsic Evaluation of Text Summarization:Does ROUGE Correlate?

机译:文本摘要的外部评估方法:ROUGE是否相关?

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This paper demonstrates the usefulness of summariesin an extrinsic task of relevance judgmentbased on a new method for measuring agreement,Relevance-Prediction, which compares subjects’judgments on summaries with their own judgmentson full text documents. We demonstrate that,because this measure is more reliable than previousgold-standard measures, we are able to makestronger statistical statements about the benefits ofsummarization. We found positive correlations betweenROUGE scores and two different summarytypes, where only weak or negative correlationswere found using other agreement measures. However,we show that ROUGE may be sensitive to thechoice of summarization style. We discuss the importanceof these results and the implications for futuresummarization evaluations.
机译:本文展示了总结的有用性 在相关性判断的外部任务中 基于一种新的衡量协议的方法, 关联性预测,用于比较主题的 对总结的判断与自己的判断 在全文文件上。我们证明, 因为这种措施比以前更可靠 黄金标准的措施,我们有能力做出 有关以下方面好处的更强有力的统计声明 总结。我们发现 ROUGE分数和两个不同的摘要 类型,其中只有弱或负相关 是通过其他协议措施发现的。然而, 我们表明ROUGE可能对 摘要样式的选择。我们讨论重要性 这些结果及其对未来的影响 总结评估。

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