Fully unsupervised discovery of concept-specific relationships by web mining

Dmitry Davidov*, Ari Rappoport, Moshe Koppel

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

56 Scopus citations

Abstract

We present a web mining method for discovering 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 previous work. Our method is based on clustering 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 precision.

Original languageAmerican English
Title of host publicationACL 2007 - Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics
Pages232-239
Number of pages8
StatePublished - 2007
Event45th Annual Meeting of the Association for Computational Linguistics, ACL 2007 - Prague, Czech Republic
Duration: 23 Jun 200730 Jun 2007

Publication series

NameACL 2007 - Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics

Conference

Conference45th Annual Meeting of the Association for Computational Linguistics, ACL 2007
Country/TerritoryCzech Republic
CityPrague
Period23/06/0730/06/07

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