In the last decade, the need to detect automatically irony to correctly recognize the sentiment
and hate speech involved in online texts increased the investigation on humorous figures of …

We describe the creation of HurtLex, a multilingual lexicon of hate words. The starting point
is the Italian hate lexicon developed by the linguist Tullio De Mauro, organized in 17 …

Transfer learning, particularly approaches that combine multi-task learning with pre-trained
contextualized embeddings and fine-tuning, have advanced the field of Natural Language …

Lexical normalization is the task of transforming an utterance into its standardized form. This
task is beneficial for downstream analysis, as it provides a way to harmonize (often …

The world's languages exhibit striking diversity. At the same time, recurring linguistic
patterns suggest the possibility that this diversity is shaped by features of human cognition …

The Acceptability and Complexity eval-uation task for Italian (AcCompl-it) wasaimed at
developing and evaluating meth-ods to classify Italian sentences accordingto Acceptability …

The work presented in this paper investigates the ability of BERT neural language model
pretrained in Italian to embed syntactic dependency relationships into its layers, by …

We report on the collection of social media messages-from Twitter in particular-in the Italian
language that is continuously going on since 2012 at the University of Turin. A number of …

The paper describes the first task on Part of Speech tagging of spoken language held at the
Evalita evaluation campaign, KIPoS. Benefiting from the availability of a resource of …

Recent work has shown that monolingual masked language models learn to represent data-
driven notions of language variation which can be used for domain-targeted training data …