A Document Attention Network (DAN) model dedicated to Information Extraction from 19th century French Land Registry tables
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Zenodo
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| Autori principali: | , , , , |
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| Natura: | Recurso digital |
| Lingua: | francese |
| Pubblicazione: |
Zenodo
2025
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| _version_ | 1866901605246304256 |
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| author | Tual, Solenn Abadie, Nathalie Chazalon, Joseph Duménieu, Bertrand Perret, Julien |
| author_facet | Tual, Solenn Abadie, Nathalie Chazalon, Joseph Duménieu, Bertrand Perret, Julien |
| contents | <p>This repository contains the weights of a Document Attention Network (DAN) (Coquenet et al.) model fine-tuned to perform extraction information from digitised tables of the 19th century French Land Registry. </p> <p>The dataset used to train and evaluate the model is available on Zenodo : <a href="https://zenodo.org/records/15411507" rel="nofollow">10.5281/zenodo.15411507</a>. Annotation model is described in the dataset repository. </p> <p>Be aware that this model has been trained with images from the Departement of Valde-Marne. It may not suceed to extract informations from land registry documents from other departements because of other layouts, local languages, etc.</p> <p><a href="https://gitlab.teklia.com/atr/dan">atr-dan</a> Python library has been used to train the model.</p> <p>DAN architecture as been presented in the following paper : "Denis Coquenet, Clément Chatelain, Thierry Paquet, <a href="https://arxiv.org/abs/2203.12273">DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition</a>"<br><br></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17185990 |
| institution | Zenodo |
| language | fra |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A Document Attention Network (DAN) model dedicated to Information Extraction from 19th century French Land Registry tables Tual, Solenn Abadie, Nathalie Chazalon, Joseph Duménieu, Bertrand Perret, Julien <p>This repository contains the weights of a Document Attention Network (DAN) (Coquenet et al.) model fine-tuned to perform extraction information from digitised tables of the 19th century French Land Registry. </p> <p>The dataset used to train and evaluate the model is available on Zenodo : <a href="https://zenodo.org/records/15411507" rel="nofollow">10.5281/zenodo.15411507</a>. Annotation model is described in the dataset repository. </p> <p>Be aware that this model has been trained with images from the Departement of Valde-Marne. It may not suceed to extract informations from land registry documents from other departements because of other layouts, local languages, etc.</p> <p><a href="https://gitlab.teklia.com/atr/dan">atr-dan</a> Python library has been used to train the model.</p> <p>DAN architecture as been presented in the following paper : "Denis Coquenet, Clément Chatelain, Thierry Paquet, <a href="https://arxiv.org/abs/2203.12273">DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition</a>"<br><br></p> |
| title | A Document Attention Network (DAN) model dedicated to Information Extraction from 19th century French Land Registry tables |
| url | https://doi.org/10.5281/zenodo.17185990 |