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Interactive Knowledge Base Population

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

Date: May 15, 2015

Abstract: 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).

Type: Proceedings

Publisher: arXiv:1506.00301 [cs.AI]

Tags: natural language processing, knowledge base, information extraction

Google Scholar: search

Number of downloads: 346

 

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