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 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. |
| 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 |
Slides |
A Resource and Tool for Super-sense Tagging of Italian Texts |
| Bibtex | @InProceedings{ATTARDI10.216, author = {Giuseppe Attardi and Stefano Dei Rossi and Giulia Di Pietro and Alessandro Lenci and Simonetta Montemagni and Maria Simi}, title = {A Resource and Tool for Super-sense Tagging of Italian Texts}, booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |