基于Office技术的visual studio工具在科技学术期刊表结构识别与信息提取中的应用研究

Lipeng Wang, Jie Chen, Chunyu Zheng, Jie Feng
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引用次数: 0

摘要

在Word中进行智能表处理的前提是提取表的结构和文本信息。利用visual studio工具for Office (VSTO)获取表格的可扩展标记语言(XML)信息,进一步识别表格的结构关系和每个单元格的文本格式。与VBA (Visual Basic for Applications)技术相比,VSTO技术处理Word的速度较慢,但具有比VBA更好的可扩展性和效率。VSTO技术可以有效识别表的结构并提取信息,为后续的智能处理提供可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application research on table structure recognition and information extraction in sci-tech academic journals based on visual studio tools for Office technology
The premise of intelligent table processing in Word is to extract the table structure and text information. By using visual studio tools for Office (VSTO) to obtain the extensible markup language (XML) information of the table, the structural relationship of the table and the text format of each cell can be further recognized. Compared with Visual Basic for Applications (VBA) technology, VSTO technology is slower in handling Word, but it has better extensibility and efficiency than VBA. VSTO technology can effectively recognize the structure of the table and extract information, providing possibilities for subsequent intelligent processing.
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