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Automated understanding, extraction and structured reformatting of information in electronic files

机译:自动理解,提取和重新格式化电子文件中的信息

摘要

Systems and methods for automatically understanding, decomposing, extracting, validating and reformatting unstructured tabular information into intermediate structured representations of the information contained therein are described. No constraints are placed on the origin or format of these documents when originally submitted. Furthermore, no pre-created scripts are required to map the information contained in the submitted documents. The systems and methods of this invention generally comprise obtaining an electronic document, automatically analyzing and understanding the contents of the document, extracting information from the document, categorizing the information, and then creating an intermediate structured representation of the information contained therein. The intermediate structured representations may then be easily converted for use in a myriad of back-end systems. Embodiments of this invention automatically process a multitude of financial documents, thereby eliminating the need for human interaction with such documents in many cases and lowering the costs associated with processing such documents.
机译:描述了用于自动理解,分解,提取,验证和重新格式化非结构化表格信息为其中包含的信息的中间结构化表示的系统和方法。最初提交时,这些文档的来源或格式没有任何限制。此外,不需要预先创建的脚本即可映射提交的文档中包含的信息。本发明的系统和方法通常包括获得电子文档,自动分析和理解文档的内容,从文档中提取信息,对该信息进行分类,然后创建其中包含的信息的中间结构化表示。然后,可以轻松地转换中间结构化表示形式,以用于各种后端系统。本发明的实施例自动处理大量财务文件,从而在许多情况下消除了与此类文件的人为交互的需要,并降低了与处理此类文件相关的成本。

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