TY - GEN
T1 - Comparing Different Supervised Approaches to Hate Speech Detection
AU - Corazza, Michele
AU - Menini, Stefano
AU - Arslan, Pinar
AU - Sprugnoli, Rachele
AU - Cabrio, Elena
AU - Tonelli, Sara
AU - Villata, Serena
PY - 2018
Y1 - 2018
N2 - This paper reports on the systems the InriaFBK Team submitted to the EVALITA 2018 - Shared Task on Hate Speech Detection in Italian Twitter and Facebook posts (HaSpeeDe). Our submissions were based on three separate classes of models: a model using a recurrent layer, an ngram-based neural network and a LinearSVC. For the Facebook task and the two cross-domain tasks we used the recurrent model and obtained promising results, especially in the cross-domain setting. For Twitter, we used an ngram-based neural network and the LinearSVC-based model.
AB - This paper reports on the systems the InriaFBK Team submitted to the EVALITA 2018 - Shared Task on Hate Speech Detection in Italian Twitter and Facebook posts (HaSpeeDe). Our submissions were based on three separate classes of models: a model using a recurrent layer, an ngram-based neural network and a LinearSVC. For the Facebook task and the two cross-domain tasks we used the recurrent model and obtained promising results, especially in the cross-domain setting. For Twitter, we used an ngram-based neural network and the LinearSVC-based model.
KW - hate speech detection, information extraction, Italian
KW - hate speech detection, information extraction, Italian
UR - http://hdl.handle.net/10807/133051
UR - http://ceur-ws.org/vol-2263/paper039.pdf
U2 - 10.4000/books.aaccademia.4772
DO - 10.4000/books.aaccademia.4772
M3 - Conference contribution
SN - 978-88-31978-42-2
VL - 2263
T3 - CEUR WORKSHOP PROCEEDINGS
SP - 230
EP - 234
BT - Proceedings of the Sixth Evaluation Campaign of Natural Language processing and Speech Tools for Italian (EVALITA 2018)
T2 - 6th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop, EVALITA 2018
Y2 - 12 December 2018 through 13 December 2018
ER -