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Towards Few-shot Entity Recognition in Document Images: A Label-aware
  Sequence-to-Sequence Framework

Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework

30 March 2022
Zilong Wang
Jingbo Shang
ArXivPDFHTML

Papers citing "Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework"

4 / 4 papers shown
Title
Towards Few-shot Entity Recognition in Document Images: A Graph Neural
  Network Approach Robust to Image Manipulation
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation
Prashant Krishnan
Zilong Wang
Yangkun Wang
Jingbo Shang
23
3
0
24 May 2023
WARP: Word-level Adversarial ReProgramming
WARP: Word-level Adversarial ReProgramming
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
AAML
254
342
0
01 Jan 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
140
355
0
27 May 2019
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