aiXplain at Arabic Hate Speech 2022: An Ensemble Based Approach to Detecting Offensive Tweets
Abusive speech on online platforms has a detrimental effect on users’ mental health. This warrants the need for innovative solutions that automatically moderate content, especially on online platforms such as Twitter where a user’s anonymity is loosely controlled. This paper outlines aiXplain Inc.’s ensemble based approach to detecting offensive speech in the Arabic language based on OSACT5’s shared sub-task A. Additionally, this paper highlights multiple challenges that may hinder progress on detecting abusive speech and provides potential avenues and techniques that may lead to significant progress.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
AlexU-AIC at Arabic Hate Speech 2022: Contrast to Classify
Online presence on social media platforms such as Facebook and Twitter has become a daily habit for internet users. Despite the vast amount of services the platforms offer for their users, users suffer from cyber-bullyin…
Contrastive LearningMulti-Task LearningEnsemble 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 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 DetectionMeta AI at Arabic Hate Speech 2022: MultiTask Learning with Self-Correction for Hate Speech Classification
In this paper, we tackle the Arabic Fine-Grained Hate Speech Detection shared task and demonstrate significant improvements over reported baselines for its three subtasks. The tasks are to predict if a tweet contains (1)…
Hate 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 Detection