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 evaluating the impact of these models in enhancing application performance for Italian establishing the new state-of-the-art for some fundamental NLP tasks.
Tamburini Fabio (2020). How “BERTology” changed the state-of-the-art also for Italian NLP. Aachen : CEUR-WS [10.4000/books.aaccademia.8920].
How “BERTology” changed the state-of-the-art also for Italian NLP
Tamburini Fabio
2020
Abstract
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 evaluating the impact of these models in enhancing application performance for Italian establishing the new state-of-the-art for some fundamental NLP tasks.File in questo prodotto:
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