Interactive Knowledge Base Population

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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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information extraction, knowledge base, natural language processing

Proceedings

arXiv:1506.00301 [cs.AI]

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