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

摘要

A new approach to large-scale information extraction exploits both Web documents and query logs to acquire thousands of open-domain classes of instances, along with relevant sets of open-domain class attributes at precision levels previously obtained only on small-scale, manually-assembled classes.