Overview - Knowledge Base Acceleration 2013

Proceedings | Data | Runs | Participants

The Knowledge Base Acceleration (KBA) track in TREC 2013 expanded the entity-centric filtering evaluation from TREC KBA 2012. This track evaluates systems that filter a time-ordered corpus for documents and slot fills that would change an entity profile in a predefined list of entities. We doubled the size of the KBA streamcorpus to twelve thousand contiguous hours and a billion documents from blogs, news, and Web content

Track coordinator(s):

• John R. Frank, Massachusetts Institute of Technology
• Steven J. Bauer, Massachusetts Institute of Technology
• Max Kleiman Weinre, Massachusetts Institute of Technology
• Daniel A. Roberts, Massachusetts Institute of Technology
• Nilesh Tripuraneni, Massachusetts Institute of Technology
• Ce Zhang, Stanford University
• Christopher Re, University of Wisconsin
• Ellen Voorhees, Ian Soboroff, National Institute of Standards and Technology (NIST)

Tasks:

• kba-ssf-2013: Streaming Slot Filling
• kba-ccr-2013: Cumulative Citation Recommendation

Track Web Page: https://trec-kba.org/

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