TY  - CONF
ID  - www2009198
UR  - http://www2009.eprints.org/198/
A1  - Reisinger, Joseph
A1  - Pasca, Marius
Y1  - 2009/04//
N2  - 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.
TI  - Bootstrapped Extraction of Class Attributes
SP  - 1235
M2  - Madrid, Spain
AV  - public
EP  - 1235
T2  - 18th International World Wide Web Conference
ER  -