Summary of the paper
| Title | A Resource and Tool for Super-sense Tagging of Italian Texts |
|---|---|
| Authors | Giuseppe Attardi, Stefano Dei Rossi, Giulia Di Pietro, Alessandro Lenci, Simonetta Montemagni and Maria Simi |
| Abstract | A SuperSense Tagger is a tool for the automatic analysis of texts thatassociates to each noun, verb, adjective and adverb a semantic category withina general taxonomy. The developed tagger, based on a statistical model (MaximumEntropy), required the creation of an Italian annotated corpus, to be used as atraining set, and the improvement of various existing tools. The obtainedresults significantly improved the current state-of-the art for this particular task. |
| Language | Statistical and machine learning methods |
| Topics | Corpus (creation, annotation, etc.), Tools, systems, applications, Statistical and machine learning methods |
Full paper  |
A Resource and Tool for Super-sense Tagging of Italian Texts |
| Bibtex | @InProceedings{ATTARDI10.216, author = {Giuseppe Attardi, Stefano Dei Rossi, Giulia Di Pietro, Alessandro Lenci, Simonetta Montemagni and Maria Simi}, title = {A Resource and Tool for Super-sense Tagging of Italian Texts}, booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |