Dataset for EMNLP'23 Paper "DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine Reading"
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Updated
Oct 25, 2023
Dataset for EMNLP'23 Paper "DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine Reading"
Replication package for our eye-tracking study on programmers' linearity of reading order
Post-process PageXMLs to improve their region reading order
Learning to Sort Handwritten Text Lines in Reading Order through Estimated Binary Order Relations
PDF layout intelligence for .NET — structured extraction tuned for RAG and LLM pipelines.
Reports, datasets, and experiments for DeepSolo-inspired Korean OCR reading-order correction.
Derives reading order for multi-column pages, keeping full-width table rows whole and lifting running heads, folios and footnotes out of the flow
Thai document OCR pipeline — BMFL 0.740 on ThaiOCRBench Full-page OCR, above Qwen2.5-VL 72B, no LLM, ~2.7 s/page
OCR in pure Rust: documents, screens, and a change-gated LIVE frame reader. Detection, recognition and reading order computed from geometry, no Python, no C/C++ by default, nothing GPL. Memory safe. The ffai-carmenta crate.
Rebuild reading order from positioned text boxes: strip running heads by cadence, rejoin paragraphs across page breaks, keep citations exact
Reading-order scoring for OCR / extraction — the silent failure mode that breaks your RAG.
Swift package for Korean Apple Vision OCR reading-order correction with DeepSolo-inspired ordered-point guidance.
An enterprise-grade, high-performance application that parses PDF files from a source directory, extracts their raw text payloads using deep layout analysis (native reading-order reconstruction + multi-column heuristics), and writes corresponding `.txt` and/or `.md` files into a destination directory.
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