Wolfe, TravisDredze, MarkMayfield, JamesMcNamee, Paul2018-11-012018-11-012015-05-15http://hdl.handle.net/11603/11824Most work on building knowledge bases has focused on collecting entities and facts from as large a collection of documents as possible. We argue for and describe a new paradigm where the focus is on a high-recall extraction over a small collection of documents under the supervision of a human expert, that we call Interactive Knowledge Base Population (IKBP).6 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.natural language processingknowledge baseinformation extractionUMBC Ebiquity Research GroupText