Query-driven Generative Network for Document Information Extraction in the Wild-Reference-Cited by-同舟云学术

Query-driven Generative Network for Document Information Extraction in the Wild

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Cao Haoyu¹,Li Xin¹,Ma Jiefeng²,Jiang Deqiang¹,Guo Antai¹,Hu Yiqing¹,Liu Hao¹,Liu Yinsong¹,Ren Bo¹

Affiliation:

1. Tencent YouTu Lab, HeFei, China

2. University of Science and Technology of China, HeFei, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3547877

Reference38 articles.

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3. GMN: Generative Multi-modal Network for Practical Document Information Extraction

4. One-shot Text Field labeling using Attention and Belief Propagation for Structure Information Extraction

5. InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training

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