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  1. Chapter and Conference Paper

    Semantic Rule Filtering for Web-Scale Relation Extraction

    Web-scale relation extraction is a means for building and extending large repositories of formalized knowledge. This type of automated knowledge building requires a decent level of precision, which is hard to ...

    Andrea Moro, Hong Li, Sebastian Krause, Feiyu Xu in The Semantic Web – ISWC 2013 (2013)

  2. Chapter and Conference Paper

    Large-Scale Learning of Relation-Extraction Rules with Distant Supervision from the Web

    We present a large-scale relation extraction (RE) system which learns grammar-based RE rules from the Web by utilizing large numbers of relation instances as seed. Our goal is to obtain rule sets large enough ...

    Sebastian Krause, Hong Li, Hans Uszkoreit, Feiyu Xu in The Semantic Web – ISWC 2012 (2012)