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

Giuseppe Attardi, Stefano Dei Rossi, Giulia Di Pietro, Alessandro Lenci, Simonetta Montemagni, Maria Simi


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.
Anthology ID:
L10-1148
Volume:
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)
Month:
May
Year:
2010
Address:
Valletta, Malta
Editors:
Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, Daniel Tapias
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2010/pdf/216_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Giuseppe Attardi, Stefano Dei Rossi, Giulia Di Pietro, Alessandro Lenci, Simonetta Montemagni, and Maria Simi. 2010. A Resource and Tool for Super-sense Tagging of Italian Texts. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), Valletta, Malta. European Language Resources Association (ELRA).
Cite (Informal):
A Resource and Tool for Super-sense Tagging of Italian Texts (Attardi et al., LREC 2010)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2010/pdf/216_Paper.pdf