Key-value information extraction from full handwritten pages

IEEE International Conference on Document Analysis and Recognition (ICDAR), 2023

26 April 2023

Solène Tarride

Mélodie Boillet

Christopher Kermorvant

ArXiv (abs)PDF HTML HuggingFace (2 upvotes)

Papers citing "Key-value information extraction from full handwritten pages"

9 / 9 papers shown

CM1 - A Dataset for Evaluating Few-Shot Information Extraction with Large Vision Language ModelsIEEE International Conference on Document Analysis and Recognition (ICDAR), 2025

290

07 May 2025

Meta-DAN: towards an efficient prediction strategy for page-level handwritten text recognition

Denis Coquenet

AI4TS

221

04 Apr 2025

DANIEL: A fast Document Attention Network for Information Extraction and Labelling of handwritten documents

Thomas Constum

Pierrick Tranouez

Thierry Paquet

183

12 Jul 2024

End-to-end information extraction in handwritten documents: Understanding Paris marriage records from 1880 to 1940

151

30 Apr 2024

Revisiting N-Gram Models: Their Impact in Modern Neural Networks for Handwritten Text Recognition

Solène Tarride

Christopher Kermorvant

169

30 Apr 2024

Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library

Christopher Kermorvant

156

29 Apr 2024

The Socface Project: Large-Scale Collection, Processing, and Analysis of a Century of French Censuses

Christopher Kermorvant

218

29 Apr 2024

Reading Order Independent Metrics for Information Extraction in Handwritten Documents

David Villanova-Aparisi

Solène Tarride

Carlos David Martínez Hinarejos

Verónica Romero

Christopher Kermorvant

Moisés Pastor

139

29 Apr 2024

SIMARA: a database for key-value information extraction from full pagesIEEE International Conference on Document Analysis and Recognition (ICDAR), 2023

Solène Tarride

Mélodie Boillet

Jean-Franccois Moufflet

Christopher Kermorvant

111

26 Apr 2023