Overview of the EVALITA 2016 Part of speech on twitter for Italian task
Cristina Bosco, Fabio Tamburini, Andrea Bolioli, Alessandro Mazzei · Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) · 2016
The increasing interest for the extraction of various forms of knowledge from micro-blogs and social media makes crucial the development of resources and tools that can be used for automatically deal with them. PoSTWITA contributes to the advancement of the state-of-the-art for Italian language by: (a) enriching the community with a previously not existing col- lection of data extracted from Twitter and annotated with grammatical categories, to be used as a benchmark for system evaluation; (b) supporting the adaptation of Part of Speech tagging systems to this particular text domain.