Key Coverage Matters: Semi-Structured Extraction of OCR Clinical Reports

arXiv:2605.09440 · cs.CL, cs.AI · Submitted 2026-08-19 · Read on arXiv

Yu Wang, Yingyun Li, Ying Qin, Haiyang Qian

cs.CL, cs.AI

Submitted: 2026-08-19

Updated: 2026-08-20

Comments: Preprint. Under review at MLHC 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Clustering — 5× in this paper · explained in 2 episodes
• Verification — 4× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Core — 2× in this paper · explained in 2 episodes
• F1 Score — 2× in this paper · explained in 3 episodes
• Human-in-the-Loop — 2× in this paper · explained in 3 episodes
• Information Leakage — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Actionability — 1× in this paper · explained in 3 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Annotation Errors — 1× in this paper · explained in 1 episode
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering