11 mai 2021
https://creativecommons.org/licenses/by-nc-nd/4.0/ , info:eu-repo/semantics/openAccess
Tao Deng et al., « By1510 @ HaSpeeDe 2: Identification of Hate Speech for Italian Language in Social Media Data », Accademia University Press, ID : 10.4000/books.aaccademia.6942
Hate speech detection has become a crucial mission in many fields. This paper introduces the system of team By1510. In this work, we participate in the HaSpeeDe 2 (Hate Speech Detection) shared task which is organized within Evalita 2020(The Final Workshop of the 7th evaluation campaign). In order to obtain more abundant semantic information, we combine the original output of BERT-Ita and the hidden state outputs of BERT-Ita. We take part in task A. Our model achieves an F1 score of 77.66% (6/27) in the tweets test set and our model achieves an F1 score of 66.38% (14/27) in the news headlines test set.