Erik J. Larson and Todd C. Hughes
Information extraction tools provide an important means for distilling content from free text documents, and knowledge-based tools provide an important means for automatically reasoning over statements expressed as well-formed tuples. A number of techniques deliver reliable extraction of entities, less reliable extraction of relations, and poor extraction on entity-entity-relation tuples. However, tuple extraction is needed to bridge the gap between free text and knowledge-based applications. We describe an information extraction system and experiment that demonstrates accurate tuple extraction in a selected domain.