Reading Order Detection
2 papers with code • 1 benchmarks • 1 datasets
Reading order detection aims to capture the word sequence which can be naturally comprehended by human readers from visually-rich documents. It is a fundamental task for visually-rich document understanding.
Benchmarks
These leaderboards are used to track progress in Reading Order Detection
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ReadingBank
Most implemented papers
LayoutReader: Pre-training of Text and Layout for Reading Order Detection
microsoft/unilm
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EMNLP 2021
Reading order detection is the cornerstone to understanding visually-rich documents (e. g., receipts and forms).
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
However, BIO-tagging scheme relies on the correct order of model inputs, which is not guaranteed in real-world NER on scanned VrDs where text are recognized and arranged by OCR systems.
