Papers with PDF-to-Tree

    1 papers
    PDF-to-Tree: Parsing PDF Text Blocks into a Tree (2024.findings-emnlp)

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    Challenge: Existing studies try to extract one universal reading order for PDF files, however, some applications, like Retrieval Augmented Generation, require breaking long articles into sections and subsections for better indexing.
    Approach: They propose a new task and dataset, PDF-to-Tree, which organizes the text blocks of a PDF into a tree structure.
    Outcome: The proposed parser achieves 93.93% accuracy, surpassing baseline methods by 6.72%.

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