Proceedings of the 2009 Text Analysis Conference

HLTCOE Approaches to Knowledge Base Population at TAC 2009

Paul McNamee, Mark Dredze, Adam Gerber, Nikesh Garera, Tim Finin, James Mayfield, Christine Piatko, Delip Rao, David Yarowsky, and Markus Dreyer

November 1, 2009

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.

BibTeX OWL Tweet Scholar

Tags: information extraction, knowledge base, natural language processing, natural language processing

Type: InProceedings

Publisher: National Institute of Standards and Technology

Downloads: 1494 downloads

Google Scholar Citations: 6 citations