#entity-extraction News & Analysis

3 articles tagged with #entity-extraction. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · 2d ago5/10

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Construction of Historical Knowledge Graphs Based on BERT and Graph Neural Networks

Researchers present a machine learning architecture combining BERT and Graph Neural Networks to automatically extract entities and relationships from historical texts and construct structured knowledge graphs. The system demonstrates superior performance compared to traditional rule-based methods when processing complex historical documents with linguistic ambiguities and implicit references.

AIBullisharXiv – CS AI · May 286/10

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SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction

Researchers propose SSDAU, a novel data augmentation method for Joint Entity and Relation Extraction that preserves semantic structure and context awareness. The approach significantly outperforms existing methods by reducing F1 score degradation to 8.26% compared to 31.91% for baseline approaches, addressing a critical challenge in NLP model generalization.

AINeutralarXiv – CS AI · Mar 35/104

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Conformal Prediction for Risk-Controlled Medical Entity Extraction Across Clinical Domains

Researchers developed a conformal prediction framework for Large Language Models used in medical entity extraction, testing on FDA drug labels and radiology reports. The study found that model calibration varies significantly across clinical domains, with models being underconfident on structured data but overconfident on free-text reports, achieving 90% target coverage with 9-13% rejection rates.