Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction

Evaluating the Quality of a Knowledge Base Populated from Text


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.

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cold start, entity linking, information extraction, knowledge base population, knowledge base, machine reading, natural language processing, nist, rdf, semantic web, slot filling, tac, text analysis conference


Association for Computational Linguistics

held in conjunction with 2012 NAACL-HLT

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