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Computer Science > Computer Vision and Pattern Recognition

arXiv:2304.13606 (cs)
[Submitted on 26 Apr 2023]

Title:SIMARA: a database for key-value information extraction from full pages

Authors:Solène Tarride, Mélodie Boillet, Jean-François Moufflet, Christopher Kermorvant
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Abstract:We propose a new database for information extraction from historical handwritten documents. The corpus includes 5,393 finding aids from six different series, dating from the 18th-20th centuries. Finding aids are handwritten documents that contain metadata describing older archives. They are stored in the National Archives of France and are used by archivists to identify and find archival documents. Each document is annotated at page-level, and contains seven fields to retrieve. The localization of each field is not available in such a way that this dataset encourages research on segmentation-free systems for information extraction. We propose a model based on the Transformer architecture trained for end-to-end information extraction and provide three sets for training, validation and testing, to ensure fair comparison with future works. The database is freely accessible at this https URL.
Subjects: Computer Vision and Pattern Recognition (cs.CV); Databases (cs.DB)
Cite as: arXiv:2304.13606 [cs.CV]
  (or arXiv:2304.13606v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2304.13606

Submission history

From: Solène Tarride [view email]
[v1] Wed, 26 Apr 2023 15:00:04 UTC (1,839 KB)
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