Workshop on Document Intelligence Understanding-Reference-Cited by-同舟云学术

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Workshop on Document Intelligence Understanding

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
language:
Short-container-title:

Author:

Han Soyeon Caren¹^ORCID,Ding Yihao²^ORCID,Luo Siwen¹^ORCID,Poon Josiah²^ORCID,Yoon Hee-Guen³^ORCID,Huang Zhe⁴^ORCID,Duuring Paul⁵^ORCID,Holden Eun-Jung⁶^ORCID

Affiliation:

1. The University of Western Australia & The University of Sydney, Perth & Sydney, Australia

2. The University of Sydney, Sydney, NSW, Australia

3. National Information Society Agency, Daegu, Republic of Korea

4. Ant Group, Alibaba Group, Shanghai, China

5. The Department of Mines, Industry Regulation and Safety, Perth, WA, Australia

6. University of Western Australia, Perth, WA, Australia

Funder

Google Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615312

Reference11 articles.

1. V-Doc : Visual questions answers with Documents

2. Form-NLU: Dataset for the Form Natural Language Understanding

3. Yihao Ding , Siwen Luo , Hyunsuk Chung , and Soyeon Caren Han . 2023 b. PDFVQA: A New Dataset for Real-World VQA on PDF Documents. arXiv preprint arXiv:2304.06447 ( 2023 ). Yihao Ding, Siwen Luo, Hyunsuk Chung, and Soyeon Caren Han. 2023 b. PDFVQA: A New Dataset for Real-World VQA on PDF Documents. arXiv preprint arXiv:2304.06447 (2023).

4. ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction

5. DocBank: A Benchmark Dataset for Document Layout Analysis

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