Although there is a long tradition of work in NLP on extracting entities and relations from text,
to date there exists very little work on the acquisition of business processes from …

Online misinformation is posing a serious threat for the modern society. Assessing the
veracity of online information is a complex problem which nowadays is addressed by heavily …

The data augmentation approach is becoming very popular in Natural Language Generation
(NLG). Different approaches have been utilized in NLP and NLG to augment data and …

Transformer-based algorithms such as BERT are typically trained with large corpora of
documents, extracted directly from the Internet. As reported by several studies, these data …

Prompt-based learning is a recent paradigm in NLP that leverages large pre-trained
language models to perform a variety of tasks. With this technique, it is possible to build …

In this paper, we propose an extensive evaluation of the first text-to-text Italian Neural
Language Model (NLM), IT5 [1], on a classification scenario. In particular, we test the …

Natural language interactions between humans and robots are intended to be situated in the
sense that both user and robot can access and refer to the shared environment. Contextual …

Since the beginning of the vaccination campaign against Covid-19 in our country, resistance
to vaccination has emerged on the part of a not negligible portion of the Italian population …

Abstract In recent years, Natural Language Processing models have shown compelling
progress in generating and translating text. Yet, the symbols that are manipulated by these …

Nowadays, the knowledge of query languages like SQL is mandatory for accessing the most
relevant information concerning a company's business, stored in richly structured databases …