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New pipeline efficiently extracts structured data from spreadsheets

By PulseAugur Editorial · [3 sources] ·

Researchers have developed a new two-stage pipeline for extracting structured data from spreadsheets, addressing challenges posed by diverse formats and layouts. The system first classifies cell types using a LightGBM classifier combined with a conditional random field for spatial consistency, then employs a deterministic algorithm for table detection. This approach, evaluated on the new StatSheets benchmark, achieves high accuracy in both cell-type classification and table detection, outperforming or remaining competitive with existing LLM-based systems while requiring fewer computational resources. AI

IMPACT This research offers a more computationally efficient alternative to LLM-based systems for spreadsheet data extraction, potentially improving scalability for data analysis tasks.

RANK_REASON The cluster contains a research paper detailing a new method for spreadsheet table understanding.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New pipeline efficiently extracts structured data from spreadsheets

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The cluster contains a research paper detailing a new method for spreadsheet table understanding.
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COVERAGE [3]

  1. arXiv cs.LG TIER_1 English(EN) · Antoine Gauquier, Ioana Manolescu, Pierre Senellart ·

    Structured Prediction for Scalable Spreadsheet Table Understanding: From Cell Types to Table Ranges (Extended Version)

    arXiv:2608.16050v1 Announce Type: cross Abstract: Spreadsheets are a primary medium for publishing tabular data, yet automatically extracting structured content from them remains difficult due to heterogeneous layouts, diverse file formats, and inconsistent organizational convent…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Pierre Senellart ·

    Structured Prediction for Scalable Spreadsheet Table Understanding: From Cell Types to Table Ranges (Extended Version)

    Spreadsheets are a primary medium for publishing tabular data, yet automatically extracting structured content from them remains difficult due to heterogeneous layouts, diverse file formats, and inconsistent organizational conventions. We address two core tasks in spreadsheet und…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    Structured Prediction for Scalable Spreadsheet Table Understanding: From Cell Types to Table Ranges (Extended Version)

    Spreadsheets are a primary medium for publishing tabular data, yet automatically extracting structured content from them remains difficult due to heterogeneous layouts, diverse file formats, and inconsistent organizational conventions. We address two core tasks in spreadsheet und…

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