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We all encounter many documents on a daily basis that we do not have time to process in their entirety. Nevertheless, we lack good tools to rapidly skim and identify key information from within such documents. This paper develops and evaluates Interactive Compression (IC) techniques that allow users to dynamically configure the amount of information they view in a document, e.g. by automatically removing unimportant information from view (Excision) or by making important information more salient (Highlighting). We explore IC techniques in the context of meeting transcripts that are typically unstructured - making it difficult to isolate relevant regions and extract key information. We demonstrate the superiority of IC compared with an unmodified text control. In contrast to traditional summaries, our results show extensive use of interactive, as opposed to fixed compression level, summarization. They also show the value of word- as opposed to utterance-based compression. There are also trade-offs between different IC designs. Excision allows users to scan documents faster than Highlighting but at the expense of overlooking relevant sections of the document.
机译:我们每个人每天都会遇到许多文件,而我们没有时间完整处理这些文件。但是,我们缺乏良好的工具来快速浏览和识别此类文档中的关键信息。本文开发并评估了交互式压缩(IC)技术,该技术允许用户动态配置他们在文档中查看的信息量,例如通过自动从视图中删除不重要的信息(切除)或使重要信息更加突出(突出显示)。我们在会议记录的背景下探索IC技术,而会议记录通常是非结构化的,因此很难隔离相关区域并提取关键信息。我们展示了IC与未经修改的文本控件相比的优越性。与传统的摘要相反,我们的结果表明,与固定压缩级别的摘要相比,交互式的摘要得到了广泛的使用。与基于话语的压缩相比,它们还显示了单词的价值。在不同的IC设计之间也需要权衡取舍。使用Excision,用户可以比“突出显示”更快地扫描文档,但要以忽略文档的相关部分为代价。

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