This paper presents the results of a set of methods to cluster WordNet word senses. The methods rely on different information sources: confusion matrixes from Senseval-2 Word Sense Disambiguation systems, translation similarities, hand-tagged examples of the target word senses and examples obtained automatically from the web for the target word senses. The clustering results have been evaluated...

WordNet, a widely used sense inventory for Word Sense Disambiguation(WSD), is often too fine-grained for many Natural Language applications because of its narrow sense distinctions. We present a semi-supervised approach to learn similarity between WordNet synsets using a graph based recursive similarity definition. We seed our framework with sense similarities of all the word-sense pairs, learn...

One key dimension of the virtualization of the workplace is the formation of new types of partnerships where organizations let internal functions be handled by an external partner, the so-called outsourcing of services. The formation of an outsourcing partnership imposes the risk of knowledge-drainage on the client organization as specific internal competence decreases when the service provider...