Using wikipedia and supersense tagging for semi-automatic complex taxonomy construction

In this paper we propose an unsupervised approach for acquiring domain related conceptual hierarchies from open-domain text. Super Sense Tagging (SST) is used to extract up-level terms and Wikipedia categories and WordNet are employed to construct the rest of taxonomic hierarchy. The result is a complete top-bottom taxonomy for every formal context. We describe both the method we implemented and some encoruaging initial experimental results.

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