Paper: Fully Unsupervised Discovery of Concept-Specific Relationships by Web Mining

ACL ID P07-1030
Title Fully Unsupervised Discovery of Concept-Specific Relationships by Web Mining
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

We present a web mining method for discov- ering and enhancing relationships in which a specified concept (word class) participates. We discover a whole range of relationships focused on the given concept, rather than generic known relationships as in most pre- vious work. Our method is based on cluster- ing patterns that contain concept words and other words related to them. We evaluate the method on three different rich concepts and find that in each case the method generates a broad variety of relationships with good pre- cision.