DocNER: A Deep Learning System for Named Entity Recognition in Handwritten Document Images

Author:

Dhiaf Marwa,Jemni Sana Khamekhem,Kessentini Yousri

Publisher

Springer International Publishing

Reference15 articles.

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4. Rodriquez, K., Bryant, M., Blanke, T., Luszczynska, M.: Comparison of named entity recognition tools for raw OCR text. In: Konvens, pp. 410–414 (2012)

5. Liu, H., Feng, J., Qi, M., Jiang, J., Yan, S.: End-to-end comparative attention networks for person re-identification. IEEE Trans. Image Process. 26, 3492–3506 (2017)

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1. Neural models for semantic analysis of handwritten document images;International Journal on Document Analysis and Recognition (IJDAR);2024-06-06

2. Advancements and Challenges in Handwritten Text Recognition: A Comprehensive Survey;Journal of Imaging;2024-01-08

3. Graph Neural Networks for End-to-End Information Extraction from Handwritten Documents;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

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