Speaker
Affilliation
UPC, Barcelona
Abstract
I will present a new fully automatic method for building highly dense and accurate knowledge bases from existing semantic resources. Basically, the method uses a wide-coverage and accurate knowledge-based Word Sense Disambiguation algorithm to assign the most appropriate senses to large sets of topically related words acquired from the web. The resulting knowledge-base which connects large sets of semantically-related concepts is a major step beyond WordNet: in quantity, KnowNet is several times larger than WordNet and in quality, the knowledge contained in KnowNet outperforms any other automatically derived semantic resource when empirically evaluated in a common framework.