NLPExplorer

OSACT - 2020

Total Papers:- 19

Total Papers accross all years:- 66

Total Citations :- 0

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Leveraging Affective Bidirectional Transformers for Offensive Language Detection

AbdelRahim Elmadany | Chiyu Zhang | Muhammad Abdul-Mageed | Azadeh Hashemi |

Combining Character and Word Embeddings for the Detection of Offensive Language in Arabic

Abdullah I. Alharbi | Mark Lee |

OSACT4 Shared Task on Offensive Language Detection: Intensive Preprocessing-Based Approach

Fatemah Husain |

Arabic Offensive Language Detection with Attention-based Deep Neural Networks

Bushr Haddad | Zoher Orabe | Anas Al-Abood | Nada Ghneim |

Quick and Simple Approach for Detecting Hate Speech in Arabic Tweets

Abeer Abuzayed | Tamer Elsayed |

Offensive language detection in Arabic using ULMFiT

Mohamed Abdellatif | Ahmed Elgammal |

Understanding and Detecting Dangerous Speech in Social Media

Ali Alshehri | El Moatez Billah Nagoudi | Muhammad Abdul-Mageed |

ALT Submission for OSACT Shared Task on Offensive Language Detection

Multitask Learning for Arabic Offensive Language and Hate-Speech Detection

Ibrahim Abu Farha | Walid Magdy |

ASU_OPTO at OSACT4 - Offensive Language Detection for Arabic text

Amr Keleg | Samhaa R. El-Beltagy | Mahmoud Khalil |

Overview of OSACT4 Arabic Offensive Language Detection Shared Task

Building a Corpus of Qatari Arabic Expressions

Sara Al-Mulla | Wajdi Zaghouani |

AraNet: A Deep Learning Toolkit for Arabic Social Media

Muhammad Abdul-Mageed | Chiyu Zhang | Azadeh Hashemi | El Moatez Billah Nagoudi |

OSACT4 Shared Tasks: Ensembled Stacked Classification for Offensive and Hate Speech in Arabic Tweets

Hafiz Hassaan Saeed | Toon Calders | Faisal Kamiran |

An Arabic Tweets Sentiment Analysis Dataset (ATSAD) using Distant Supervision and Self Training