The Role of Queries in Ranking Labeled Instances Extracted from Text
MARIUS A. PAŞCA · International Conference on Computational Linguistics · 2010
A weakly supervised method uses anonymized search queries to induce a ranking among class labels extracted from unstructured text for various instances. The accuracy of the extracted class labels exceeds that of previous methods, over evaluation sets of instances associated with Web search queries.