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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 →

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Paper proposes expert retrieval system to bridge knowledge gaps

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

  1. arXiv cs.AI TIER_1 English(EN) · Suyu Ouyang, Yingxia Shao, Ang Li ·

    Retrieval of Scientific and Technological Resources for Experts and Scholars

    arXiv:2204.06142v2 Announce Type: replace-cross Abstract: Institutions of higher learning, research institutes and other scientific research units have abundant scientific and technological resources of experts and scholars, and these talents with great scientific and technologic…