TY - JOUR
T1 - Multi-Task Learning for Detection of Aggressive and Violent Incidents from Social Media
AU - Ta, Hoang Thang
AU - Rahman, Abu Bakar Siddiqur
AU - Najjar, Lotfollah
AU - Gelbukh, Alexander
N1 - Publisher Copyright:
© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2022
Y1 - 2022
N2 - In this paper, we participate in the task of Detection of Aggressive and Violent INCIdents from Social Media in Spanish (DA-VINCIS). We apply a multi-task learning network, MT-DNN to train users' tweets on their text embeddings from pre-trained transformer models. In the first subtask, we obtained the best F1 of 74.80%, Precision of 75.52%, and Recall of 74.09%. Meanwhile, F1 of 39.20%, Precision of 37.79%, and Recall of 43.88% are results in the second subtask.
AB - In this paper, we participate in the task of Detection of Aggressive and Violent INCIdents from Social Media in Spanish (DA-VINCIS). We apply a multi-task learning network, MT-DNN to train users' tweets on their text embeddings from pre-trained transformer models. In the first subtask, we obtained the best F1 of 74.80%, Precision of 75.52%, and Recall of 74.09%. Meanwhile, F1 of 39.20%, Precision of 37.79%, and Recall of 43.88% are results in the second subtask.
KW - DA-VINCIS
KW - IberLEF
KW - MT-DNN
KW - Multi-task learning
KW - Text Classification
KW - Violence Detection
UR - http://www.scopus.com/inward/record.url?scp=85137365293&partnerID=8YFLogxK
M3 - Artículo de la conferencia
AN - SCOPUS:85137365293
SN - 1613-0073
VL - 3202
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 2022 Iberian Languages Evaluation Forum, IberLEF 2022
Y2 - 20 September 2022
ER -
