AUTOMATICALLY EXTRACTING TABULAR DATA INCLUDED WITHIN A SOURCE DOCUMENT
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United States of America
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Issued Date -
Jan 30, 2025
app pub date -
Jul 28, 2023
filing date -
Jul 28, 2023
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Abstract
Systems and methods are disclosed for automatically extracting relevant information from various source document that include tabular data. The tabular data in various forms can be received as mixed with other dissimilar data. Tabular data can appear in different orientations, document types, and can be fragmented horizontally or vertically. The proposed technique automatically detects table header data in certain regions of the received source document and associates values to the extracted headers. The proposed system is capable of combining different snippets of smaller tables into a single cohesive and monolithic table with headers designated by a set of keywords and all the values in the various columns (and/or rows) included under or along proper headers.
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