UniBO @ KIPoS: Fine-tuning the Italian “BERTology" for PoS-tagging Spoken Data
Fabio Tamburini · Accademia University Press eBooks · 2020
The use of contextualised word embeddings allowed for a relevant performance increase for almost all Natural Language Processing (NLP) applications. Recently some new models especially developed for Italian became available to scholars. This work aims at applying simple fine-tuning methods for producing high-performance solutions at the EVALITA KIPOS PoS-tagging task (Bosco et al. 2020).