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Reading Order Matters: Information Extraction from Visually-rich
  Documents by Token Path Prediction

Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
17 October 2023
Chong Zhang
Ya Guo
Yi Tu
Huan Chen
Jinyang Tang
Huijia Zhu
Tao Gui
Tao Gui
    3DV
ArXiv (abs)PDFHTML

Papers citing "Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction"

3 / 3 papers shown
Title
SciPostLayoutTree: A Dataset for Structural Analysis of Scientific Posters
SciPostLayoutTree: A Dataset for Structural Analysis of Scientific Posters
Shohei Tanaka
Atsushi Hashimoto
Yoshitaka Ushiku
60
0
0
23 Nov 2025
Problem Solved? Information Extraction Design Space for Layout-Rich Documents using LLMs
Problem Solved? Information Extraction Design Space for Layout-Rich Documents using LLMs
Gaye Colakoglu
Gürkan Solmaz
Jonathan Fürst
245
4
0
25 Feb 2025
Modeling Layout Reading Order as Ordering Relations for Visually-rich
  Document Understanding
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document UnderstandingConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Chong Zhang
Yi Tu
Yixi Zhao
Chenshu Yuan
Huan Chen
...
Mingxu Chai
Ya Guo
Huijia Zhu
Qi Zhang
Tao Gui
124
9
0
29 Sep 2024
1