RelSifter: Scoring Triples from Type-like Relations - The Samphire Triple Scorer at WSDM Cup 2017

    Mihai Avram
    Mihai Avram
    Giovanni Luca Ciampaglia
    Giovanni Luca Ciampaglia

    CoRR, Volume abs/1712.08674, 2017.

    Cited by: 2|Bibtex|Views2|Links
    EI

    Abstract:

    We present RelSifter, a supervised learning approach to the problem of assigning relevance scores to triples expressing type-like relations such as 'profession' and 'nationality.' To provide additional contextual information about individuals and relations we supplement the data provided as part of the WSDM 2017 Triple Score contest wit...More

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