Skip to main navigation Skip to search Skip to main content

CBNU at TREC 2019 Precision Medicine Track

    • Jeonbuk National University

    Research output: Contribution to conferencePaperpeer-review

    Abstract

    This paper describes the participation of the CBNU team at the TREC Precision Medicine Track 2019. We use the cancer-centered document clusters based on graph embedding. Documents are retrieved by re-ranking documents and pseudo-relevance feedback based on cancer-centered document clusters.

    Original languageEnglish
    StatePublished - 2019
    Event28th Text REtrieval Conference, TREC 2019 - Gaithersburg, United States
    Duration: 2019.11.132019.11.15

    Conference

    Conference28th Text REtrieval Conference, TREC 2019
    Country/TerritoryUnited States
    CityGaithersburg
    Period19.11.1319.11.15

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • cancer-centered document cluster
    • cancer-gene relation
    • graph embedding
    • Precision medicine

    Quacquarelli Symonds(QS) Subject Topics

    • Linguistics
    • Computer Science & Information Systems
    • Data Science

    Fingerprint

    Dive into the research topics of 'CBNU at TREC 2019 Precision Medicine Track'. Together they form a unique fingerprint.

    Cite this