A Resource and Tool for Super-sense Tagging of Italian Texts

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.

• Type: Conference
• Year: 2010
• Where: LREC
• Authors: Giuseppe Attardi, Stefano Dei Rossi, Giulia Di Pietro, Alessandro Lenci, Simonetta Montemagni, Maria Simi
• Keywords: Developed Tagger, Education, Italian Annotated Corpus, LREC 2010, SuperSense Tagger