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A Resource and Tool for Super-sense Tagging of Italian Texts
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010)
Abstract
A SuperSense Tagger is a tool for the automatic analysis of texts that associates to each noun, verb, adjective and adverb a semantic category within a general taxonomy. The developed tagger, based on a statistical model (Maximum Entropy), required the creation of an Italian annotated corpus, to be used as a training set, and the improvement of various existing tools. The obtained results significantly improved the current state-of-the art for this particular task.