3 papers
cs.CL2023★ 2 cited
DocILE Benchmark for Document Information Localization and Extraction
Štěpán Šimsa, Milan Šulc, Michal Uřičář +8
This paper introduces the DocILE benchmark with the largest dataset of business documents for the tasks of Key Information Localization and Extraction and Line Item Recognition. It…
cs.LG2023
DocILE 2023 Teaser: Document Information Localization and Extraction
Štěpán Šimsa, Milan Šulc, Matyáš Skalický +2
The lack of data for information extraction (IE) from semi-structured business documents is a real problem for the IE community. Publications relying on large-scale datasets use on…
cs.CG2016
Squarability of rectangle arrangements
Matěj Konečný, Stanislav Kučera, Michal Opler +3
We study when an arrangement of axis-aligned rectangles can be transformed into an arrangement of axis-aligned squares in while preserving its structure. We found a…