Information Extraction from Text Regions with Complex Tabular Structure

Recent innovations have improved layout analysis of document images, significantly improving our ability to identify text and non-text regions. However, extracting information from within text regions remains quite challenging because the text region may have a complex structure. In this paper, we present a new dataset with complex text structure, and propose new methods to robustly retrieve information from the complex text region.

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