A New Annotation Method and Dataset for Layout Analysis of Long Documents
Author:
Affiliation:
1. Department of Computer Science, Virginia Tech, USA
2. Virginia Tech, USA
Funder
Institute of Museum and Library Services
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3543873.3587609
Reference23 articles.
1. Aman Ahuja, Alan Devera, and Edward Alan Fox. 2022. Parsing Electronic Theses and Dissertations Using Object Detection. In Proceedings of the first Workshop on Information Extraction from Scientific Publications. Association for Computational Linguistics, 121–130. https://aclanthology.org/2022.wiesp-1.14
2. A fast and efficient method for extracting text paragraphs and graphics from unconstrained documents
3. Kevin Dinh Brian Dinh Andrew Leavitt and Annie Tran. 2022. Object Detection. http://hdl.handle.net/10919/114082 Virginia Tech CS4624 team term project.
4. Fast R-CNN
5. LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
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1. Integrated Digital Library System for Long Documents and their Elements;2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL);2023-06
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