When silver glitters more than gold: Bootstrapping an Italian part-of-speech tagger for Twitter

11/09/2016
by   Barbara Plank, et al.
0

We bootstrap a state-of-the-art part-of-speech tagger to tag Italian Twitter data, in the context of the Evalita 2016 PoSTWITA shared task. We show that training the tagger on native Twitter data enriched with little amounts of specifically selected gold data and additional silver-labelled data scraped from Facebook, yields better results than using large amounts of manually annotated data from a mix of genres.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset