Papers with Structured information extraction

3 papers
A Multistage Extraction Pipeline for Long Scanned Financial Documents: An Empirical Study in Industrial KYC Workflows (2026.acl-industry)

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Challenge: Structured information extraction from long, multilingual scanned financial documents is a core requirement in industrial KYC and compliance workflows.
Approach: They propose a framework for structured information extraction from long, multilingual scanned financial documents . they combine image preprocessing, multilinguistic OCR, hybrid page-level retrieval and VLMs .
Outcome: The proposed pipeline outperforms direct PDF-to-VLM baselines on 120 production KYC documents.
PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction (2025.emnlp-industry)

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Challenge: Structured information extraction from unstructured text is critical for Software 3.0 systems . current approaches to extract structured information from unstructed text are static contracts .
Approach: They propose a system that automates JSON schemas for LLM consumption and optimizes them for LRM consumption.
Outcome: The proposed system improves extraction accuracy and reduces errors by 92% within the first retry and maintaining practical latency.
SciNLP: A Domain-Specific Benchmark for Full-Text Scientific Entity and Relation Extraction in NLP (2025.emnlp-main)

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Challenge: Existing datasets for structured information extraction focus on specific publication sections due to domain complexity and high cost of annotating scientific texts.
Approach: They propose a specialized benchmark for full-text entity and relation extraction in the natural language processing domain.
Outcome: The proposed dataset comprises 60 manually annotated full-text NLP publications covering 7,072 entities and 1,826 relations.

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