Paper proposes expert retrieval system to bridge knowledge gaps

This paper explores methods for retrieving scientific and technological resources related to experts and scholars. It addresses the challenge of information asymmetry, where valuable expertise is not effectively connected with societal needs. The authors propose building an expert and scholar information database and providing retrieval services, detailing their research across text relation extraction, knowledge representation learning, text vector retrieval, and visualization systems. AI

RANK_REASON The cluster contains an academic paper detailing a proposed system for information retrieval. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.AI →

• Ang Li
• arXiv

• paper
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →