3 septembre 2021
https://www.openedition.org/12554 , info:eu-repo/semantics/openAccess
Yi-Ling Chung et al., « Italian Counter Narrative Generation to Fight Online Hate Speech », Accademia University Press, ID : 10.4000/books.aaccademia.8378
Counter Narratives are textual responses meant to withstand online hatred and prevent its spreading. The use of neural architectures for the generation of Counter Narratives (CNs) is beginning to be investigated by the NLP community. Still, the efforts were solely targeting English. In this paper, we try to fill the gap for Italian, studying how to implement CN generation approaches effectively. We experiment with an existing dataset of CNs and a novel language model, recently released for Italian, under several configurations, including zero and few shot learning. Results show that even for under-resourced languages, data augmentation strategies paired with large unsupervised LMs can held promising results