Context-Aware Classification of Legal Document Pages
Author:
Affiliation:
1. Thomson Reuters Labs, London, United Kingdom
2. Thomson Reuters Labs, Zug, Switzerland
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3539618.3591839
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3. Souhail Bakkali Zuheng Ming Mickael Coustaty and Marcal Rusinol. 2020. Visual and Textual Deep Feature Fusion for Document Image Classification. 562--563. https://openaccess.thecvf.com/content_CVPRW_2020/html/w34/Bakkali_Visual_and_Textual_Deep_Feature_Fusion_for_Document_Image_Classification_CVPRW_2020_paper.html Souhail Bakkali Zuheng Ming Mickael Coustaty and Marcal Rusinol. 2020. Visual and Textual Deep Feature Fusion for Document Image Classification. 562--563. https://openaccess.thecvf.com/content_CVPRW_2020/html/w34/Bakkali_Visual_and_Textual_Deep_Feature_Fusion_for_Document_Image_Classification_CVPRW_2020_paper.html
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5. A Test for Symmetry in Contingency Tables
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1. The 3rd International Workshop on Mining and Learning in the Legal Domain;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21
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