This paper describes an automatic method for acquiring hyponymy relations from HTML documents on the WWW. Hyponymy relations can play a crucial role in various natural language processing systems. Most existing acquisition methods for hyponymy relations rely on particular linguistic patterns, such as "NP such as NP". Our method, however, does not use such linguistic patterns, and we expect that our procedure can be applied to a wide range of expressions for which existing methods cannot be used. Our acquisition algorithm uses clues such as itemization or listing in HTML documents and statistical measures such as document frequencies and verb-noun co-occurrences.
Shinzato and Torisawa REF provided a method to acquire hyponymy relations from HTML documents; they used itemization and listing elements in documents.
Acquiring Hyponymy Relations From Web Documents
Human Language Technology Conference And Meeting Of The North American Association For Computational Linguistics
Computer Science