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Information highlighting

机译：信息突出显示

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摘要

The paper reports on an empirical study in which, for the purposes of developing an automatic highlighting tool, 11 subjects were asked to highlight important passages in an 1111-word text. These results were cross-referenced with a range of word attributes in order to test hypotheses about the principles underlying highlighting decisions. With this data, a combination of selection criteria was proposed that was able to predict the probability of highlighting with a correlation of approximately 0.56, compared with an average correlation of 0.47 amongst the test subjects, and a figure of 0.30 for Word97's highlighting feature. The paper argues that the common factor behind the most successful hypotheses was that they are all signals denoting "new" as opposed to "given" information at the discourse level. Although based on a very limited sample, this observation seems clear enough to make detecting such signals a promising candidate for further research.
机译：本文报告了一个实证研究，因为为了开发自动突出工具的目的，要求11个科目突出1111字文本中的重要段落。这些结果与一系列字属性交叉引用，以测试关于突出显示决策的原则的假设。利用该数据，提出了一种选择标准的组合，其能够预测突出显示的概率，与测试对象中的0.47的平均相关性，以及Word97的突出显示特征的图0.30的图。论文辩称，最成功的假设背后的共同因素是它们都是表示“新”的信号，而不是“给予”话语水平的信息。虽然基于一个非常有限的样本，但这种观察似乎足以让检测到进一步研究的有希望的候选者。

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