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University Hosts Annual Research Conference

March 2025

The University of Fallujah recently hosted its annual research conference, bringing together scholars, students, and industry experts to discuss the latest developments in science and technology.

New Digital Repository Launched

November 15, 2024

We are excited to announce the launch of the Digital Repository, providing open access to the university's academic and research materials for global audiences.

New University of Fallujah System Released

November 15, 2024

The University of Fallujah has launched a new system to enhance administrative processes and improve student services. This system aims to streamline academic records, facilitate communication, and provide a user-friendly platform for students, faculty, and staff.

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    Layoutlm: Pre-training of text and layout for document image understanding
    (ACM, 2020-08-20) Lei Cui; second author
    Pre-training techniques have been verified successfully in a variety of NLP tasks in recent years. Despite the widespread use of pre-training models for NLP applications, they almost exclusively focus on text-level manipulation, while neglecting layout and style information that is vital for document image understanding. In this paper, we propose the LayoutLM to jointly model interactions between text and layout information across scanned document images, which is beneficial for a great number of real-world document image understanding tasks such as information extraction from scanned documents. Furthermore, we also leverage image features to incorporate words’ visual information into LayoutLM. To the best of our knowledge, this is the first time that text and layout are jointly learned in a single framework for documentlevel pre-training. It achieves new state-of-the-art results in several downstream tasks, including form understanding (from 70.72 to 79.27), receipt understanding (from 94.02 to 95.24) and document image classification (from 93.07 to 94.42). The code and pre-trained LayoutLM models are publicly available at https://aka.ms/layoutlm

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