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CUTIE: Learning to Understand Documents with Convolutional Universal
  Text Information Extractor

CUTIE: Learning to Understand Documents with Convolutional Universal Text Information Extractor

29 March 2019
Xiaohui Zhao
Endi Niu
Zhuo Wu
Xiaoguang Wang
ArXivPDFHTML

Papers citing "CUTIE: Learning to Understand Documents with Convolutional Universal Text Information Extractor"

10 / 10 papers shown
Title
DocParser: End-to-end OCR-free Information Extraction from Visually Rich
  Documents
DocParser: End-to-end OCR-free Information Extraction from Visually Rich Documents
M. Dhouib
G. Bettaieb
A. Shabou
20
21
0
24 Apr 2023
ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for
  Document Information Extraction
ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction
Jiabang He
Lei Wang
Yingpeng Hu
Ning Liu
Hui-juan Liu
Xingdong Xu
Hengtao Shen
MLLM
6
47
0
09 Mar 2023
QueryForm: A Simple Zero-shot Form Entity Query Framework
QueryForm: A Simple Zero-shot Form Entity Query Framework
Zifeng Wang
Zizhao Zhang
Jacob Devlin
Chen-Yu Lee
Guolong Su
Hao Zhang
Jennifer Dy
Vincent Perot
Tomas Pfister
27
8
0
14 Nov 2022
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document
  Understanding
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding
Wenjin Wang
Zhengjie Huang
Bin Luo
Qianglong Chen
Qiming Peng
...
Weichong Yin
Shi Feng
Yu Sun
Dianhai Yu
Yin Zhang
ViT
35
11
0
18 Sep 2022
Information Extraction from Scanned Invoice Images using Text Analysis
  and Layout Features
Information Extraction from Scanned Invoice Images using Text Analysis and Layout Features
H. Ha
Ales Horak
25
14
0
08 Aug 2022
Key Information Extraction From Documents: Evaluation And Generator
Key Information Extraction From Documents: Evaluation And Generator
Oliver Bensch
Mirela C. Popa
Constantin Spille
14
13
0
09 Jun 2021
ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for
  Key Information Extraction from Documents
ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents
Weihong Lin
Qifang Gao
Lei-huan Sun
Zhuoyao Zhong
Kaiqin Hu
Qin Ren
Qiang Huo
31
37
0
25 May 2021
DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End
  Information Extraction
DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information Extraction
Freddy Chongtat Chua
Nigel P. Duffy
45
7
0
10 Mar 2021
Towards a Multi-modal, Multi-task Learning based Pre-training Framework
  for Document Representation Learning
Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning
Subhojeet Pramanik
Shashank Mujumdar
Hima Patel
19
31
0
30 Sep 2020
Kleister: A novel task for Information Extraction involving Long
  Documents with Complex Layout
Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout
Filip Graliñski
Tomasz Stanislawek
Anna Wróblewska
Dawid Lipiñski
Agnieszka Kaliska
Paulina Rosalska
Bartosz Topolski
P. Biecek
30
40
0
04 Mar 2020
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