Bootstrapped Extraction of Class AttributesJosephReisingerauthorMariusPascaauthorAs 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.2009-04Conference or Workshop Item