HLTCOE Approaches to Knowledge Base Population at TAC 2009
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Date
2009-11-01
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Citation of Original Publication
Paul McNamee, Mark Dredze, Adam Gerber, Nikesh Garera, Tim Finin, James Mayfield, Christine Piatko, Delip Rao, David Yarowsky, and Markus Dreyer, HLTCOE Approaches to Knowledge Base Population at TAC 2009, Proceedings of the 2009 Text Analysis Conference, 2009,https://tac.nist.gov/publications/2009/participant.papers/hltcoe.proceedings.pdf
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Abstract
The HLTCOE participated in the entity linking and slot filling tasks at TAC 2009. A machine learning-based approach to entity linking, operating over a wide range of feature types, yielded good performance on the entity linking task. Slot-filling based on sentence selection, application of weak patterns and exploitation of redundancy was ineffective in the slot filling task.