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Automated Summarization Evaluation Based on Clouds Model

机译:基于云模型的自动汇总评估

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摘要

A new algorithm based on clouds model is proposed, which is used for automatic summarization evaluation. How to abstract suitable Dependence Content Unit(DCU) from summarization automatically to determine the quantify domain is studied. This result will be used for transforming test summarization into clouds drop and clouds model, so the characteristic value is calculated for evaluation. In this algorithm, not only the fuzziness of contribution to the quality of abstract by DCU is considered, but also the randomness. The automation of the whole evaluation process can be reached. The results of comparison experiments show that this algorithm has good similarity with manual method.
机译:提出了一种新的基于云模型的算法,用于自动总结评估。研究了如何从摘要中自动提取合适的依赖内容单元(DCU)来确定量化域。该结果将用于将测试摘要转换为云滴和云模型,从而计算特征值以进行评估。在该算法中,不仅考虑了DCU对抽象质量贡献的模糊性,而且考虑了随机性。可以实现整个评估过程的自动化。比较实验结果表明,该算法与人工算法具有良好的相似性。

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