Weakly-Supervised Acquisition of Open-Domain Classes and Class Attributes from Web Documents and Query Logs
MARIUS A. PAŞCA, Benjamin Van Durme · Meeting of the Association for Computational Linguistics · 2008
A new approach to large-scale information extraction exploits both Web documents and query logs to acquire thousands of opendomain classes of instances, along with relevant sets of open-domain class attributes at precision levels previously obtained only on small-scale, manually-assembled classes.