Interactive Knowledge Base Population

Travis Wolfe, Mark Dredze, James Mayfield, Paul McNamee, Craig Harmon, Tim Finin, and Benjamin Van Durme

May 15, 2015

Most 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).

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Tags: information extraction, knowledge base, natural language processing

Type: Proceedings

Publisher: arXiv:1506.00301 [cs.AI]

Downloads: 1148 downloads