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CRMSP: A Semi-supervised Approach for Key Information Extraction with
  Class-Rebalancing and Merged Semantic Pseudo-Labeling

CRMSP: A Semi-supervised Approach for Key Information Extraction with Class-Rebalancing and Merged Semantic Pseudo-Labeling

19 July 2024
Qi Zhang
Yonghong Song
Pengcheng Guo
Yangyang Hui
ArXivPDFHTML

Papers citing "CRMSP: A Semi-supervised Approach for Key Information Extraction with Class-Rebalancing and Merged Semantic Pseudo-Labeling"

6 / 6 papers shown
Title
Semi-supervised Domain Adaptation via Prototype-based Multi-level
  Learning
Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning
Xinyang Huang
Chuanglu Zhu
Wenkai Chen
29
12
0
04 May 2023
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Yidong Wang
Hao Chen
Qiang Heng
Wenxin Hou
Yue Fan
...
Marios Savvides
T. Shinozaki
Bhiksha Raj
Bernt Schiele
Xing Xie
185
258
0
15 May 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
252
862
0
15 Oct 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
134
355
0
27 May 2019
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,256
0
09 Jun 2011
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