Evaluating the Quality of a Knowledge Base Populated from Text
Loading...
Files
Links to Files
Permanent Link
Author/Creator
Author/Creator ORCID
Date
2012-06-07
Type of Work
Department
Program
Citation of Original Publication
James Mayfield and Tim Finin, Evaluating the Quality of a Knowledge Base Populated from Text, AKBC-WEKEX '12 Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction Pages 68-73.
Rights
This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
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.