ROPE: Reading Order Equivariant Positional Encoding for Graph-based
Document Information Extraction

ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction

21 June 2021

Chen-Yu Lee

Chun-Liang Li

Yasuhisa Fujii

Tomas Pfister

Papers citing "ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction"

8 / 8 papers shown

Title
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues Makesh Narsimhan Sreedhar Traian Rebedea Shaona Ghosh Jiaqi Zeng Christopher Parisien ALM 35 4 0 04 Apr 2024
DocGraphLM: Documental Graph Language Model for Information Extraction Dongsheng Wang Zhiqiang Ma Armineh Nourbakhsh Kang Gu Sameena Shah 38 8 0 05 Jan 2024
End-to-End Page-Level Assessment of Handwritten Text Recognition Enrique Vidal Alejandro H. Toselli Antonio Ríos-Vila Jorge Calvo-Zaragoza 32 16 0 14 Jan 2023
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
Towards Optimizing OCR for Accessibility Peya Mowar T. Ganu Saikat Guha 14 1 0 21 Jun 2022
Improving In-Context Few-Shot Learning via Self-Supervised Training Mingda Chen Jingfei Du Ramakanth Pasunuru Todor Mihaylov Srini Iyer Ves Stoyanov Zornitsa Kozareva SSL AI4MH 38 64 0 03 May 2022
Unified Line and Paragraph Detection by Graph Convolutional Networks Shuang Liu Renshen Wang Michalis Raptis Yasuhisa Fujii GNN 32 7 0 17 Mar 2022
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents Guillaume Jaume H. K. Ekenel Jean-Philippe Thiran 143 356 0 27 May 2019