Overview - Knowledge Base Acceleration 2014

Proceedings | Data | Runs | Participants

The Knowledge Base Acceleration (KBA) track ran in TREC 2012, 2013, and 2014 as an entitycentric filtering evaluation. 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. Compared with the 2012 and 2013 evaluations, the 2014 evaluation introduced several refinements, including high-quality community metadata from running Raytheon/BBN’s Serif named entity recognizer, sentence parser, and relation extractor on 579,838,246 English documents in the corpus.

Track coordinator(s):

• John R. Frank, Diffeo
• Max Kleiman-Weiner, Diffeo
• Daniel A. Roberts, Diffeo
• Ellen M. Voorhees, National Institute of Standards and Technology (NIST)
• Ian Soboroff, National Institute of Standards and Technology (NIST)

Tasks:

• kba-ccr-2014: Cumulative Citation Recommendation
• kba-ssf-2014: Streaming Slot Filling

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

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