Context-Aware Classification of Legal Document Pages

Author:

Fragkogiannis Pavlos1ORCID,Forster Martina2ORCID,Lee Grace E.1ORCID,Zhang Dell1ORCID

Affiliation:

1. Thomson Reuters Labs, London, United Kingdom

2. Thomson Reuters Labs, Zug, Switzerland

Publisher

ACM

Reference32 articles.

1. Memory transformer with hierarchical attention for long document processing

2. Srikar Appalaraju , Bhavan Jasani , Bhargava Urala Kota , Yusheng Xie, and R. Manmatha. 2021 . DocFormer: End-to- End Transformer for Document Understanding . https://doi.org/10.48550/arXiv.2106.11539 arXiv:2106.11539 [cs]. 10.48550/arXiv.2106.11539 Srikar Appalaraju, Bhavan Jasani, Bhargava Urala Kota, Yusheng Xie, and R. Manmatha. 2021. DocFormer: End-to-End Transformer for Document Understanding. https://doi.org/10.48550/arXiv.2106.11539 arXiv:2106.11539 [cs].

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

4. Ali Furkan Biten Rubèn Tito Lluis Gomez Ernest Valveny and Dimosthenis Karatzas. 2022. OCR-IDL: OCR Annotations for Industry Document Library Dataset. http://arxiv.org/abs/2202.12985 arXiv:2202.12985 [cs]. Ali Furkan Biten Rubèn Tito Lluis Gomez Ernest Valveny and Dimosthenis Karatzas. 2022. OCR-IDL: OCR Annotations for Industry Document Library Dataset. http://arxiv.org/abs/2202.12985 arXiv:2202.12985 [cs].

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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