%0 Conference Paper
%A Reisinger, Joseph
%A Pasca, Marius
%B 18th International World Wide Web Conference
%C Madrid, Spain
%D 2009
%F www2009:198
%P 1235-1235
%T Bootstrapped Extraction of Class Attributes
%U http://www2009.eprints.org/198/
%X As an alternative to previous studies on extracting class attributes from unstructured text, which consider either Web documents or query logs as the source of textual data, A bootstrapped method extracts class attributes simultaneously from both sources, using a small set of seed attributes. The method improves extraction precision and also improves attribute relevance across 40 test classes.