Proceedings of the 2009 Text Analysis Conference

HLTCOE Approaches to Knowledge Base Population at TAC 2009

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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.

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


National Institute of Standards and Technology

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