Work

ALT at SemEval-2020 Task 12: Arabic and English Offensive Language Identification in Social Media

Year: 2020

Type: conference-paper

Abstract: This paper describes the systems submitted by the Arabic Language Technology group (ALT) at SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media.We focus on sub-task A (Offensive Language Identification) for two languages: Arabic and English.Our efforts for both languages achieved more than 90% macro-averaged F1-score on the official test set.For Arabic, the best results were obtained by a system combination of Support Vector Machine, Deep Neural Network, and fine-tuned Bidirectional Encoder Representations from Transformers (BERT).For English, the best results were obtained by fine-tuning BERT.

Source: International Workshop on Semantic Evaluation (SemEval)

DOI: 10.18653/v1/2020.semeval-1.249

Authors: Sabit Hassan, Younes Samih, Hamdy Mubarak, Ahmed Abdelali

Language: English

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W3114526288

FWCI: 1.814

Cites: 24

Cited by: 24

Related to: 10