iCompass at Arabic Hate Speech 2022: Detect Hate Speech Using QRNN and Transformers
This paper provides a detailed overview of the system we submitted as part of the OSACT2022 Shared Tasks on Fine-Grained Hate Speech Detection on Arabic Twitter, its outcome, and limitations. Our submission is accomplished with a hard parameter sharing Multi-Task Model that consisted of a shared layer containing state-of-the-art contextualized text representation models such as MarBERT, AraBERT, ArBERT and task specific layers that were fine-tuned with Quasi-recurrent neural networks (QRNN) for each down-stream subtask. The results show that MARBERT fine-tuned with QRNN outperforms all of the previously mentioned models.
Code (0)
등록된 구현이 없습니다.
Tasks
Hate Speech DetectionSimilar Papers 제목 키워드 기반
ARHNet - Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic
The rapid widespread of social media has lead to some undesirable consequences like the rapid increase of hateful content and offensive language. Religious Hate Speech, in particular, often leads to unrest and sometimes …
Word EmbeddingsHate Speech Detection in Saudi Twittersphere: A Deep Learning Approach
With the rise of hate speech phenomena in Twittersphere, significant research efforts have been undertaken to provide automatic solutions for detecting hate speech, varying from simple ma-chine learning models to more co…
Deep LearningHate Speech DetectionEnsemble of pre-trained language models and data augmentation for hate speech detection from Arabic tweets
Today, hate speech classification from Arabic tweets has drawn the attention of several researchers. Many systems and techniques have been developed to resolve this classification task. Nevertheless, two of the major cha…
Data AugmentationEnsemble LearningHate Speech DetectionNavigating Dialectal Bias and Ethical Complexities in Levantine Arabic Hate Speech Detection
Social media platforms have become central to global communication, yet they also facilitate the spread of hate speech. For underrepresented dialects like Levantine Arabic, detecting hate speech presents unique cultural,…
Hate Speech DetectionUPV at the Arabic Hate Speech 2022 Shared Task: Offensive Language and Hate Speech Detection using Transformers and Ensemble Models
This paper describes our participation in the shared task Fine-Grained Hate Speech Detection on Arabic Twitter at the 5th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT). The shared task is divided in…
DecoderHate Speech Detection