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Leonardo Ranaldi, Francesca Fallucchi and Fabio Massimo Zanzotto
Modern AI technologies make use of statistical learners that lead to self-empiricist logic, which, unlike human minds, use learned non-symbolic representations. Nevertheless, it seems that it is not the right way to progress in AI. The structure of symbo...
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Leonardo Ranaldi, Federico Ranaldi, Francesca Fallucchi and Fabio Massimo Zanzotto
Online users tend to hide their real identities by adopting different names on the Internet. On Facebook or LinkedIn, for example, people usually appear with their real names. On other standard websites, such as forums, people often use nicknames to prot...
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Dario Onorati, Pierfrancesco Tommasino, Leonardo Ranaldi, Francesca Fallucchi and Fabio Massimo Zanzotto
The dazzling success of neural networks over natural language processing systems is imposing an urgent need to control their behavior with simpler, more direct declarative rules. In this paper, we propose Pat-in-the-Loop as a model to control a specific ...
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Fabio Massimo Zanzotto, Giorgio Satta and Giordano Cristini
Parsing is a key task in computer science, with applications in compilers, natural language processing, syntactic pattern matching, and formal language theory. With the recent development of deep learning techniques, several artificial intelligence appli...
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