A Text Block Refinement Framework For Text Classification and Object Recognition From Academic Articles-Reference-Cited by-同舟云学术

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A Text Block Refinement Framework For Text Classification and Object Recognition From Academic Articles

Published:2023-09-20 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA)
language:
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Author:

Jinghong Li¹,Koichi Ota¹,Wen Gu¹,Shinobu Hasegawa¹

Affiliation:

1. Japan Advanced Institute of Science and Technology,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10310305/10310314/10310320.pdf?arnumber=10310320

Reference19 articles.

1. TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document Images

2. PubTables-1M: Towards comprehensive table extraction from unstructured documents

3. A Meta-framework for Spatiotemporal Quantity Extraction from Text

4. Supervised Machine Learning and Deep Learning Classification Techniques to Identify Scholarly and Research Content

5. tabula: An R Package for Analysis, Seriation, and Visualization of Archaeological Count Data

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Object Recognition from Scientific Document Based on Compartment and Text Blocks Refinement Framework;SN Computer Science;2024-08-23

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