Paper: Hacking Wikipedia for Hyponymy Relation Acquisition

ACL ID I08-2126
Title Hacking Wikipedia for Hyponymy Relation Acquisition
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2008
Authors

This paper describes a method for extract- ing a large set of hyponymy relations from Wikipedia. The Wikipedia is much more con- sistently structured than generic HTML doc- uments, and we can extract a large number of hyponymy relations with simple methods. In this work, we managed to extract more than 1.4 × 10 6 hyponymy relations with 75.3% precision from the Japanese version of the Wikipedia. To the best of our knowledge, this is the largest machine-readable thesaurus for Japanese. The main contribution of this paper is a method for hyponymy acquisition from hierarchical layouts in Wikipedia. By us- ing a machine learning technique and pattern matching, we were able to extract more than 6.3 × 10 5 relations from hierarchical layouts in the Japanese Wikipedia, and their precision was 7...