1996 · 1.4K citations · 0 references
ComputingComputer ScienceComputational LinguisticsInformation RetrievalNatural Language ProcessingConcept ExtractionInformation ExtractionKnowledge ExtractionLanguage ModelingNamed Entity RecognitionText MiningDocument UnderstandingDocument-level Information ExtractionInformation Extraction From TextMessage RetrievalTrec Evaluation Framework
We have recently completed the sixth in a series of "Message Understanding Conferences" which are designed to promote and evaluate research in information extraction. MUC-6 introduced several innovations over prior MUCs, most notably in the range of different tasks for which evaluations were conducted. We describe some of the motivations for the new format and briefly discuss some of the results of the evaluations.