Evaluating the Quality of a Knowledge Base Populated from Text

Authors: , Tim Finin

Book Title: Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction


Abstract: The steady progress of information extraction systems has been helped by sound methodologies for evaluating their performance in controlled experiments. Annual events like MUC, ACE and TAC have developed evaluation approaches enabling researchers to score and rank their systems relative to reference results. Yet these evaluations have only assessed component technologies needed by a knowledge base population system; none has required the construction of a knowledge base that is then evaluated directly. We describe an approach to the direct evaluation of a knowledge base and an instantiation that will be used in a 2012 TAC Knowledge Base Population track.

Type: InProceedings

Tags: entity linking, information extraction, knowledge base, knowledge base population, machine reading, natural language processing, slot filling

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