{
  "id": 246290,
  "title": "Schema-Guided Hierarchical Information Extraction and Semantic Evaluation Using Generative AI",
  "url": "https://urgent.news/2026/08/06/schema-guided-hierarchical-information-extraction-and-semantic",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-06T15:33:30.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.06167v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "We present a schema-based framework for extracting complex, structured information from unstructured text documents using generative AI, followed by automated semantic evaluation of the extracted information against a gold standard. The schema, serving as an information model encoding domain knowledge, provides a unified, systematic, and consistent framework for extraction of hierarchical, nested…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}