SemEval-2020 task 12: Multilingual offensive language identification in social media (OffensEval 2020)

M Zampieri, P Nakov, S Rosenthal, P Atanasova… - arXiv preprint arXiv …, 2020 - arxiv.org
We present the results and main findings of SemEval-2020 Task 12 on Multilingual
Offensive Language Identification in Social Media (OffensEval 2020). The task involves …

Multi-stage transfer learning with BERTology-based language models for question answering system in vietnamese

K Van Nguyen, PNT Do, ND Nguyen… - International Journal of …, 2023 - Springer
With the fast growth of information science and engineering, a large number of textual data
generated are valuable for natural language processing and its applications. Particularly …

[HTML][HTML] A hybrid combination of CNN Attention with optimized random forest with grey wolf optimizer to discriminate between Arabic hateful, abusive tweets

A Aljohani, N Alharbe, RE Al Mamlook… - Journal of King Saud …, 2024 - Elsevier
Arabic hateful speech recognition has long been a major area of focus in Natural Language
Processing (NLP) research. In light of recent advancements in transformer models and deep …

SMOTE for enhancing Tunisian Hate Speech detection on social media with machine learning

S Gasmi, A Mezghani… - International Journal of …, 2024 - journals.sagepub.com
In the last decade, the world has witnessed remarkable technological development,
especially in artificial intelligence, which helps researchers find solutions to problems of …