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[2602.23061] MoDora: Tree-Based Semi-Structured Document Analysis System
Summary
MoDora is a novel LLM-powered system designed for analyzing semi-structured documents, addressing challenges in information retrieval and question answering by leveraging hierarchical structures and layout distinctions.
Why It Matters
As semi-structured documents are prevalent across various domains, effective analysis tools like MoDora can significantly enhance data accessibility and usability. By improving the accuracy of information retrieval, it supports better decision-making and insights from complex data formats.
Key Takeaways
- MoDora addresses limitations in existing document analysis methods by using a local-alignment aggregation strategy.
- The Component-Correlation Tree (CCTree) organizes document components hierarchically, enhancing information retrieval.
- The system outperforms traditional methods by 5.97%-61.07% in accuracy for question answering tasks.
Computer Science > Information Retrieval arXiv:2602.23061 (cs) [Submitted on 26 Feb 2026] Title:MoDora: Tree-Based Semi-Structured Document Analysis System Authors:Bangrui Xu, Qihang Yao, Zirui Tang, Xuanhe Zhou, Yeye He, Shihan Yu, Qianqian Xu, Bin Wang, Guoliang Li, Conghui He, Fan Wu View a PDF of the paper titled MoDora: Tree-Based Semi-Structured Document Analysis System, by Bangrui Xu and 10 other authors View PDF HTML (experimental) Abstract:Semi-structured documents integrate diverse interleaved data elements (e.g., tables, charts, hierarchical paragraphs) arranged in various and often irregular layouts. These documents are widely observed across domains and account for a large portion of real-world data. However, existing methods struggle to support natural language question answering over these documents due to three main technical challenges: (1) The elements extracted by techniques like OCR are often fragmented and stripped of their original semantic context, making them inadequate for analysis. (2) Existing approaches lack effective representations to capture hierarchical structures within documents (e.g., associating tables with nested chapter titles) and to preserve layout-specific distinctions (e.g., differentiating sidebars from main content). (3) Answering questions often requires retrieving and aligning relevant information scattered across multiple regions or pages, such as linking a descriptive paragraph to table cells located elsewhere in the document...