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ScheMatiQ tool uses LLMs to extract structured data from research questions

By PulseAugur Editorial · [1 sources] ·

Researchers have developed ScheMatiQ, an open-source tool designed to streamline the process of extracting structured data from natural-language research questions and large document collections. This system utilizes a backbone LLM to generate schemas and databases, offering a web interface for users to refine the extraction process. ScheMatiQ has demonstrated its utility in supporting real-world analyses within the fields of law and computational biology, with all resources made publicly available. AI

IMPACT This tool could accelerate data extraction and analysis in various research domains by leveraging LLMs.

RANK_REASON The item describes a research paper detailing a new tool and its application. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ScheMatiQ tool uses LLMs to extract structured data from research questions

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The item describes a research paper detailing a new tool and its application. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Shahar Levy, Eliya Habba, Reshef Mintz, Barak Raveh, Renana Keydar, Gabriel Stanovsky ·

    ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery

    arXiv:2604.09237v2 Announce Type: replace Abstract: Many disciplines pose natural-language research questions over large document collections whose answers typically require structured evidence, traditionally obtained by manually designing an annotation schema and exhaustively la…

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