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TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation El Moatez Billah Nagoudi, AbdelRahim Elmadany and Muhammad Abdul-Mageed |
pp. 1‑11 |
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Detecting Users Prone to Spread Fake News on Arabic Twitter Zien Sheikh Ali, Abdulaziz Al-Ali and Tamer Elsayed |
pp. 12‑22 |
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AraSAS: The Open Source Arabic Semantic Tagger Mahmoud El-Haj, Elvis de Souza, Nouran Khallaf, Paul Rayson and Nizar Habash |
pp. 23‑31 |
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AraNPCC: The Arabic Newspaper COVID-19 Corpus Abdulmohsen Al-Thubaity, Sakhar Alkhereyf and Alia O. Bahanshal |
pp. 32‑40 |
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Pre-trained Models or Feature Engineering: The Case of Dialectal Arabic Kathrein Abu Kwaik, Stergios Chatzikyriakidis and Simon Dobnik |
pp. 41‑50 |
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A Context-free Arabic Emoji Sentiment Lexicon (CF-Arab-ESL) Shatha Ali A. Hakami, Robert Hendley and Phillip Smith |
pp. 51‑59 |
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Sa‘7r: A Saudi Dialect Irony Dataset Halah AlMazrua, Najla AlHazzani, Amaal AlDawod, Lama AlAwlaqi, Noura AlReshoudi, Hend Al-Khalifa and Luluh AlDhubayi |
pp. 60‑70 |
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Classifying Arabic Crisis Tweets using Data Selection and Pre-trained Language Models Alaa Alharbi and Mark Lee |
pp. 71‑78 |
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Qur’an QA 2022: Overview of The First Shared Task on Question Answering over the Holy Qur’an Rana Malhas, Watheq Mansour and Tamer Elsayed |
pp. 79‑87 |
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DTW at Qur’an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource Domain Damith Premasiri, Tharindu Ranasinghe, Wajdi Zaghouani and Ruslan Mitkov |
pp. 88‑95 |
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eRock at Qur’an QA 2022: Contemporary Deep Neural Networks for Qur’an based Reading Comprehension Question Answers Esha Aftab and Muhammad Kamran Malik |
pp. 96‑103 |
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GOF at Qur’an QA 2022: Towards an Efficient Question Answering For The Holy Qu’ran In The Arabic Language Using Deep Learning-Based Approach Ali Mostafa and Omar Mohamed |
pp. 104‑111 |
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LARSA22 at Qur’an QA 2022: Text-to-Text Transformer for Finding Answers to Questions from Qur’an Youssef MELLAH, Ibtissam Touahri, Zakaria Kaddari, Zakaria Haja, Jamal Berrich and Toumi Bouchentouf |
pp. 112‑119 |
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LK2022 at Qur’an QA 2022: Simple Transformers Model for Finding Answers to Questions from Qur’an Abdullah Alsaleh, Saud Althabiti, Ibtisam Alshammari, Sarah Alnefaie, Sanaa Alowaidi, Alaa Alsaqer, Eric Atwell, Abdulrahman Altahhan and Mohammad Alsalka |
pp. 120‑125 |
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niksss at Qur’an QA 2022: A Heavily Optimized BERT Based Model for Answering Questions from the Holy Qu’ran Nikhil Singh |
pp. 126‑129 |
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QQATeam at Qur’an QA 2022: Fine-Tunning Arabic QA Models for Qur’an QA Task Basem Ahmed, Motaz Saad, Eshrag A. Refaee and |
pp. 130‑135 |
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SMASH at Qur’an QA 2022: Creating Better Faithful Data Splits for Low-resourced Question Answering Scenarios Amr Keleg and Walid Magdy |
pp. 136‑145 |
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Stars at Qur’an QA 2022: Building Automatic Extractive Question Answering Systems for the Holy Qur’an with Transformer Models and Releasing a New Dataset Ahmed Sleem, Eman Mohammed lotfy Elrefai, Marwa Mohammed Matar and Haq Nawaz |
pp. 146‑153 |
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TCE at Qur’an QA 2022: Arabic Language Question Answering Over Holy Qur’an Using a Post-Processed Ensemble of BERT-based Models Mohamemd Elkomy and Amany M. Sarhan |
pp. 154‑161 |
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Overview of OSACT5 Shared Task on Arabic Offensive Language and Hate Speech Detection Hamdy Mubarak, Hend Al-Khalifa and Abdulmohsen Al-Thubaity |
pp. 162‑166 |
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GOF at Arabic Hate Speech 2022: Breaking The Loss Function Convention For Data-Imbalanced Arabic Offensive Text Detection Ali Mostafa, Omar Mohamed and Ali Ashraf |
pp. 167‑175 |
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iCompass at Arabic Hate Speech 2022: Detect Hate Speech Using QRNN and Transformers Mohamed Aziz Bennessir, Malek Rhouma, Hatem Haddad and Chayma Fourati |
pp. 176‑180 |
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UPV at the Arabic Hate Speech 2022 Shared Task: Offensive Language and Hate Speech Detection using Transformers and Ensemble Models Angel Felipe Magnossão de Paula, Paolo Rosso, Imene Bensalem and Wajdi Zaghouani |
pp. 181‑185 |
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Meta AI at Arabic Hate Speech 2022: MultiTask Learning with Self-Correction for Hate Speech Classification Badr AlKhamissi and Mona Diab |
pp. 186‑193 |
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CHILLAX - at Arabic Hate Speech 2022: A Hybrid Machine Learning and Transformers based Model to Detect Arabic Offensive and Hate Speech Kirollos Makram, Kirollos George Nessim, Malak Emad Abd-Almalak, Shady Zekry Roshdy, Seif Hesham Salem, Fady Fayek Thabet and Ensaf Hussien Mohamed |
pp. 194‑199 |
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AlexU-AIC at Arabic Hate Speech 2022: Contrast to Classify Ahmad Shapiro, Ayman Khalafallah and Marwan Torki |
pp. 200‑208 |
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GUCT at Arabic Hate Speech 2022: Towards a Better Isotropy for Hatespeech Detection Nehal Elkaref and Mervat Abu-Elkheir |
pp. 209‑213 |
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aiXplain at Arabic Hate Speech 2022: An Ensemble Based Approach to Detecting Offensive Tweets Salaheddin Alzubi, Thiago Castro Ferreira, Lucas Pavanelli and Mohamed Al-Badrashiny |
pp. 214‑217 |