Named Entity Recognition with LLM

About This Research Stream

This stream develops LLM-assisted named entity recognition for research questions that require more specificity than broad person, organization, place, or event labels. It emphasizes structured extraction, validation, and relational context.

Lab Connections

Approaches

• Text as Data

Databases

• Epstein Files
• Kazakhstan Media
• North Korea Enterprises
• North Korea Media
• South Korea Law
• South Korea Politics
• Taiwan Politics

Publications

2 publications →

Contributors

• Allan Benedict C. Solacito
• Jeongsue Park
• Liang Ta, Wen 温亮達
• Martin Chen 陳明浩

Grants

• 2025 - 3Y - NSTC - Political Economy of North Korean Development — 2025
• 2024 - 2Y - NSTC - Taiwan's New Local Politics — 2024

Relevant Literature

See literature for this research stream in Zotero.