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Doc2Graph: a Task Agnostic Document Understanding Framework based on
  Graph Neural Networks

Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks

23 August 2022
Andrea Gemelli
Sanket Biswas
Enrico Civitelli
Josep Lladós
S. Marinai
ArXivPDFHTML

Papers citing "Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks"

16 / 16 papers shown
Title
Relation-Rich Visual Document Generator for Visual Information Extraction
Relation-Rich Visual Document Generator for Visual Information Extraction
Zi-Han Jiang
Chien-Wei Lin
Wei-Hua Li
Hsuan-Tung Liu
Yi-Ren Yeh
Chu-Song Chen
30
0
0
14 Apr 2025
Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large
  Language Model-Based Question Answering
Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering
Tiezheng Guo
Chen Wang
Yanyi Liu
Jiawei Tang
Pan Li
Sai Xu
Qingwen Yang
Xianlin Gao
Zhi Li
Yingyou Wen
RALM
34
1
0
06 Aug 2024
UnSupDLA: Towards Unsupervised Document Layout Analysis
UnSupDLA: Towards Unsupervised Document Layout Analysis
Talha Uddin Sheikh
Tahira Shehzadi
K. Hashmi
Didier Stricker
Muhammad Zeshan Afzal
34
2
0
10 Jun 2024
GeoContrastNet: Contrastive Key-Value Edge Learning for
  Language-Agnostic Document Understanding
GeoContrastNet: Contrastive Key-Value Edge Learning for Language-Agnostic Document Understanding
Nil Biescas
Carlos Boned Riera
Josep Lladós
Sanket Biswas
42
1
0
06 May 2024
Can AI Models Appreciate Document Aesthetics? An Exploration of
  Legibility and Layout Quality in Relation to Prediction Confidence
Can AI Models Appreciate Document Aesthetics? An Exploration of Legibility and Layout Quality in Relation to Prediction Confidence
Hsiu-Wei Yang
Abhinav Agrawal
Pavlos Fragkogiannis
Shubham Nitin Mulay
32
1
0
27 Mar 2024
RoDLA: Benchmarking the Robustness of Document Layout Analysis Models
RoDLA: Benchmarking the Robustness of Document Layout Analysis Models
Yufan Chen
Jiaming Zhang
Kunyu Peng
Junwei Zheng
Ruiping Liu
Philip H. S. Torr
Rainer Stiefelhagen
OOD
29
5
0
21 Mar 2024
DocGraphLM: Documental Graph Language Model for Information Extraction
DocGraphLM: Documental Graph Language Model for Information Extraction
Dongsheng Wang
Zhiqiang Ma
Armineh Nourbakhsh
Kang Gu
Sameena Shah
36
8
0
05 Jan 2024
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
Chong Zhang
Ya Guo
Yi Tu
Huan Chen
Jinyang Tang
Huijia Zhu
Qi Zhang
Tao Gui
3DV
26
20
0
17 Oct 2023
Document AI: A Comparative Study of Transformer-Based, Graph-Based
  Models, and Convolutional Neural Networks For Document Layout Analysis
Document AI: A Comparative Study of Transformer-Based, Graph-Based Models, and Convolutional Neural Networks For Document Layout Analysis
Sotirios Kastanas
Shaomu Tan
Yijiang He
33
1
0
29 Aug 2023
Language Independent Neuro-Symbolic Semantic Parsing for Form
  Understanding
Language Independent Neuro-Symbolic Semantic Parsing for Form Understanding
Bhanu Prakash Voutharoja
Lizhen Qu
Fatemeh Shiri
30
1
0
08 May 2023
SelfDocSeg: A Self-Supervised vision-based Approach towards Document
  Segmentation
SelfDocSeg: A Self-Supervised vision-based Approach towards Document Segmentation
Subhajit Maity
Sanket Biswas
Siladittya Manna
Ayan Banerjee
Josep Lladós
Saumik Bhattacharya
Umapada Pal
36
5
0
01 May 2023
PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysis
PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysis
Shuyong Wei
Nuo Xu
24
5
0
24 Apr 2023
CTE: A Dataset for Contextualized Table Extraction
CTE: A Dataset for Contextualized Table Extraction
Andrea Gemelli
Emanuele Vivoli
S. Marinai
LMTD
13
2
0
02 Feb 2023
PubTables-1M: Towards comprehensive table extraction from unstructured
  documents
PubTables-1M: Towards comprehensive table extraction from unstructured documents
B. Smock
Rohith Pesala
Robin Abraham
LMTD
27
96
0
30 Sep 2021
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document
  Understanding
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
Yang Xu
Yiheng Xu
Tengchao Lv
Lei Cui
Furu Wei
...
D. Florêncio
Cha Zhang
Wanxiang Che
Min Zhang
Lidong Zhou
ViT
MLLM
153
498
0
29 Dec 2020
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
Guillaume Jaume
H. K. Ekenel
Jean-Philippe Thiran
134
355
0
27 May 2019
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