Using structured text for large-scale attribute extraction

Authors:
Sujith Ravi;Marius Paşca
Affiliations:
University of Southern California, Marina del Rey, CA, USA;Google Inc., Mountain View, CA, USA
Venue:
Proceedings of the 17th ACM conference on Information and knowledge management
Year:
2008

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Abstract

We propose a weakly-supervised approach for extracting class attributes from structured text available within Web documents. The overall precision of the extracted attributes is around 30% higher than with previous methods operating on Web documents. In addition to attribute extraction, this approach also automatically identifies values for a subset of the extracted class attributes.