AutoTR: Efficient Reformatting Text Spread out in a DOM Tree for Text-Analytic Applications

Changfeng Yu, Cheng Zhang, Hao Zhang, Jie Wang
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Abstract

We present an efficient algorithm to automatically reformat text contained in multiple nodes that are spread out in a DOM tree of an HTML file converted from a PDF document. Reformatting text on the fly is needed for hierarchical reading and other text-analytic applications. A naive approach would traverse the DOM tree multiple times, failing to meet the requirement of real-time reformatting. Our algorithm meets the real-time requirement by indexing text nodes and sentences with a pair of tag holders inserted into each text node to allow fast reformatting.
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AutoTR:在文本分析应用程序的DOM树中有效地重新格式化文本
我们提出了一种有效的算法来自动重新格式化包含在多个节点中的文本,这些节点分布在从PDF文档转换而来的HTML文件的DOM树中。动态地重新格式化文本是分层阅读和其他文本分析应用程序所需要的。幼稚的方法会多次遍历DOM树,无法满足实时重新格式化的要求。我们的算法通过在每个文本节点中插入一对标签持有人来索引文本节点和句子,从而实现快速重新格式化,从而满足实时性要求。
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