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