ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2403.15765
  4. Cited By
Towards Human-Like Machine Comprehension: Few-Shot Relational Learning
  in Visually-Rich Documents

Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents

23 March 2024
Hao Wang
Tang Li
Chenhui Chu
Nengjun Zhu
Rui Wang
Pinpin Zhu
ArXivPDFHTML

Papers citing "Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents"

12 / 12 papers shown
Title
Relational Representation Learning in Visually-Rich Documents
Relational Representation Learning in Visually-Rich Documents
Xin Li
Yan Zheng
Yiqing Hu
H. Cao
Yunfei Wu
Deqiang Jiang
Yinsong Liu
Bo Ren
93
12
0
05 May 2022
FormNet: Structural Encoding beyond Sequential Modeling in Form Document
  Information Extraction
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
Chen-Yu Lee
Chun-Liang Li
Timothy Dozat
Vincent Perot
Guolong Su
Nan Hua
Joshua Ainslie
Renshen Wang
Yasuhisa Fujii
Tomas Pfister
52
78
0
16 Mar 2022
StrucTexT: Structured Text Understanding with Multi-Modal Transformers
StrucTexT: Structured Text Understanding with Multi-Modal Transformers
Yulin Li
Yuxi Qian
Yuchen Yu
Xiameng Qin
Chengquan Zhang
Yan Liu
Kun Yao
Junyu Han
Jingtuo Liu
Errui Ding
58
116
0
06 Aug 2021
Multimodal Few-Shot Learning with Frozen Language Models
Multimodal Few-Shot Learning with Frozen Language Models
Maria Tsimpoukelli
Jacob Menick
Serkan Cabi
S. M. Ali Eslami
Oriol Vinyals
Felix Hill
MLLM
125
762
0
25 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
48
39
0
25 May 2021
Revisiting Few-shot Relation Classification: Evaluation Data and
  Classification Schemes
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes
O. Sabo
Yanai Elazar
Yoav Goldberg
Ido Dagan
53
39
0
17 Apr 2021
Composed Variational Natural Language Generation for Few-shot Intents
Composed Variational Natural Language Generation for Few-shot Intents
Congying Xia
Caiming Xiong
Philip Yu
R. Socher
VLM
DRL
37
31
0
21 Sep 2020
LayoutLM: Pre-training of Text and Layout for Document Image
  Understanding
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
Yiheng Xu
Minghao Li
Lei Cui
Shaohan Huang
Furu Wei
Ming Zhou
103
694
0
31 Dec 2019
Unsupervised Cross-lingual Representation Learning at Scale
Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau
Kartikay Khandelwal
Naman Goyal
Vishrav Chaudhary
Guillaume Wenzek
Francisco Guzmán
Edouard Grave
Myle Ott
Luke Zettlemoyer
Veselin Stoyanov
152
6,454
0
05 Nov 2019
Matching the Blanks: Distributional Similarity for Relation Learning
Matching the Blanks: Distributional Similarity for Relation Learning
Livio Baldini Soares
Nicholas FitzGerald
Jeffrey Ling
Tom Kwiatkowski
36
768
0
07 Jun 2019
Graph Convolution for Multimodal Information Extraction from Visually
  Rich Documents
Graph Convolution for Multimodal Information Extraction from Visually Rich Documents
Xiaojing Liu
Feiyu Gao
Qiong Zhang
Huasha Zhao
56
183
0
27 Mar 2019
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
154
1,235
0
10 Nov 2017
1