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

29 March 2019

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

7 / 7 papers shown

Title
DocParser: End-to-end OCR-free Information Extraction from Visually Rich Documents M. Dhouib G. Bettaieb A. Shabou 17 20 0 24 Apr 2023
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 27 11 0 18 Sep 2022
Information Extraction from Scanned Invoice Images using Text Analysis and Layout Features H. Ha Ales Horak 17 14 0 08 Aug 2022
Key Information Extraction From Documents: Evaluation And Generator Oliver Bensch Mirela C. Popa Constantin Spille 11 13 0 09 Jun 2021
DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information Extraction Freddy Chongtat Chua Nigel P. Duffy 32 7 0 10 Mar 2021
Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning Subhojeet Pramanik Shashank Mujumdar Hima Patel 11 31 0 30 Sep 2020
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 23 40 0 04 Mar 2020