STAGE: Source-grounded Text-to-JSON Artifact GEneration
From financial filings to clinical records, legacy industries rely heavily on long, unstructured documents to store high-value information. Reliably extracting this information into structured, machine-readable representations is a key prerequisite to making the contents accessible to automated systems. JSON is a natural target for such structured extraction, yet constructing reliable and scalable text-to-JSON training data remains challenging. To address this gap, we propose STAGE (Spreadsheet-grounded Text-to-JSON Artifact GEneration), a source-grounded data generation pipeline that constructs reports and JSON schema by using LLMs for scalable synthesis while validating ground-truth val...
| Authors | Sunghee Ahn, Guijin Son, Youngjae Yu |
|---|---|
| Primary category | cs.CL |
| Published | 18 June 2026 |
| Last updated at source | 13 October 2026 |
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