Weakly-Supervised Acquisition of Open-Domain Classes and Class Attributes from Web Documents and Query Logs

Marius Pasca, Benjamin Van Durme
2008 Annual Meeting of the Association for Computational Linguistics  
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. * Contributions made during an internship at Google.
dblp:conf/acl/PascaD08 fatcat:prozl6vcobb6hczjotbqcyj7iy