Papers with reading order detection

1 papers
LayoutReader: Pre-training of Text and Layout for Reading Order Detection (2021.emnlp-main)

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Challenge: Existing methods for reading order detection are too laborious to annotate large datasets.
Approach: They propose to use a large-scale dataset to annotate reading order information for document images . they use XML metadata to capture the reading order of WORD documents .
Outcome: The proposed model performs almost perfectly in reading order detection and improves both open-source and commercial OCR engines in ordering text lines in their results.

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