Bootstrapped extraction of class attributes

  • Reisinger J
  • Pasca M
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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 preci- sion and also improves attribute relevance across 40 test classes.

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  • Joseph Reisinger

  • Marius Pasca

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