---
title: "Workshop on Open-Source Arabic Corpora and Processing Tools"
description: "All 28 papers of Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks 2022, the most cited first; those with our…"
canonical: "https://research.elamur.ai/free/en/venues/osact/2022/papers/"
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# Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks 2022: all accepted papers

28 papers · the most cited first · [← Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks 2022](https://md.research.elamur.ai/free/en/venues/osact/2022/)

1. **[A Context-free Arabic Emoji Sentiment Lexicon (CF-Arab-ESL)](https://md.research.elamur.ai/free/en/papers/hakami-2022-context-free-arabic-emoji-sentiment/)**Shatha Ali A. Hakami, Robert Hendley, Phillip Smith*our summary*
2. **[AlexU-AIC at Arabic Hate Speech 2022: Contrast to Classify](https://md.research.elamur.ai/free/en/papers/shapiro-2022-alexu-aic-arabic-hate-speech/)**Ahmad Shapiro, Ayman Khalafallah, Marwan Torki*our summary*
3. **[AraNPCC: The Arabic Newspaper COVID-19 Corpus](https://md.research.elamur.ai/free/en/papers/thubaity-2022-aranpcc-arabic-newspaper-covid-19/)**Abdulmohsen Al-Thubaity, Sakhar Alkhereyf, Alia O. Bahanshal*our summary*
4. **[AraSAS: The Open Source Arabic Semantic Tagger](https://md.research.elamur.ai/free/en/papers/haj-2022-arasas-open-source-arabic-semantic/)**Mahmoud El-Haj, Elvis de Souza, Nouran Khallaf et al.*our summary*
5. **[CHILLAX - at Arabic Hate Speech 2022: A Hybrid Machine Learning and Transformers based Model to Detect Arabic Offensive and Hate Speech](https://md.research.elamur.ai/free/en/papers/makram-2022-chillax-arabic-hate-speech-2022/)**Kirollos Makram, Kirollos George Nessim, Malak Emad Abd-Almalak et al.*our summary*
6. **[Classifying Arabic Crisis Tweets using Data Selection and Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/alharbi-2022-classifying-arabic-crisis-tweets-data/)**Alaa Alharbi, Mark Lee*our summary*
7. **[DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource Domain](https://md.research.elamur.ai/free/en/papers/premasiri-2022-dtw-qur-qa-2022-utilising/)**Damith Premasiri, Tharindu Ranasinghe, Wajdi Zaghouani et al.*our summary*
8. **[Detecting Users Prone to Spread Fake News on Arabic Twitter](https://md.research.elamur.ai/free/en/papers/ali-2022-detecting-users-prone-spread-fake/)**Zien Sheikh Ali, Abdulaziz Al-Ali, Tamer Elsayed*our summary*
9. **[GOF at Arabic Hate Speech 2022: Breaking The Loss Function Convention For Data-Imbalanced Arabic Offensive Text Detection](https://md.research.elamur.ai/free/en/papers/mostafa-2022-gof-arabic-hate-speech-2022/)**Ali Mostafa, Omar Mohamed, Ali Ashraf*our summary*
10. **[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](https://md.research.elamur.ai/free/en/papers/mostafa-2022-gof-qur-qa-2022-efficient/)**Ali Mostafa, Omar Mohamed*our summary*
11. **[GUCT at Arabic Hate Speech 2022: Towards a Better Isotropy for Hatespeech Detection](https://md.research.elamur.ai/free/en/papers/elkaref-2022-guct-arabic-hate-speech-2022/)**Nehal Elkaref, Mervat Abu-Elkheir*our summary*
12. **[LARSA22 at Qur'an QA 2022: Text-to-Text Transformer for Finding Answers to Questions from Qur'an](https://md.research.elamur.ai/free/en/papers/mellah-2022-larsa22-qur-qa-2022-text/)**Youssef Mellah, Ibtissam Touahri, Zakaria Kaddari et al.*our summary*
13. **[LK2022 at Qur'an QA 2022: Simple Transformers Model for Finding Answers to Questions from Qur'an](https://md.research.elamur.ai/free/en/papers/alsaleh-2022-lk2022-qur-qa-2022-simple/)**Abdullah Alsaleh, Saud Althabiti, Ibtisam Alshammari et al.*our summary*
14. **[Meta AI at Arabic Hate Speech 2022: MultiTask Learning with Self-Correction for Hate Speech Classification](https://md.research.elamur.ai/free/en/papers/alkhamissi-2022-meta-ai-arabic-hate-speech/)**Badr AlKhamissi, Mona Diab*our summary*
15. **[Overview of OSACT5 Shared Task on Arabic Offensive Language and Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/mubarak-2022-overview-osact5-shared-task-arabic/)**Hamdy Mubarak, Hend Al-Khalifa, Abdulmohsen Al-Thubaity*our summary*
16. **[Pre-trained Models or Feature Engineering: The Case of Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/kwaik-2022-pre-trained-models-or-feature/)**Kathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik*our summary*
17. **[QQATeam at Qur'an QA 2022: Fine-Tunning Arabic QA Models for Qur'an QA Task](https://md.research.elamur.ai/free/en/papers/ahmed-2022-qqateam-qur-qa-2022-fine/)**Basem Ahmed, Motaz Saad, Eshrag A. Refaee*our summary*
18. **[Qur'an QA 2022: Overview of The First Shared Task on Question Answering over the Holy Qur'an](https://md.research.elamur.ai/free/en/papers/malhas-2022-qur-qa-2022-overview-first/)**Rana Malhas, Watheq Mansour, Tamer Elsayed*our summary*
19. **[SMASH at Qur'an QA 2022: Creating Better Faithful Data Splits for Low-resourced Question Answering Scenarios](https://md.research.elamur.ai/free/en/papers/keleg-2022-smash-qur-qa-2022-creating/)**Amr Keleg, Walid Magdy*our summary*
20. **[Sa`7r: A Saudi Dialect Irony Dataset ↗](https://aclanthology.org/2022.osact-1.7/)**Halah AlMazrua, Najla AlHazzani, Amaal AlDawod et al.
21. **[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](https://md.research.elamur.ai/free/en/papers/sleem-2022-stars-qur-qa-2022-building/)**Ahmed Sleem, Eman Mohammed lotfy Elrefai, Marwa Mohammed Matar et al.*our summary*
22. **[TCE at Qur'an QA 2022: Arabic Language Question Answering Over Holy Qur'an Using a Post-Processed Ensemble of BERT-based Models](https://md.research.elamur.ai/free/en/papers/elkomy-2022-tce-qur-qa-2022-arabic/)**Mohamemd Elkomy, Amany M. Sarhan*our summary*
23. **[TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation](https://md.research.elamur.ai/free/en/papers/nagoudi-2022-turjuman-public-toolkit-neural-arabic/)**El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed*our summary*
24. **[UPV at the Arabic Hate Speech 2022 Shared Task: Offensive Language and Hate Speech Detection using Transformers and Ensemble Models](https://md.research.elamur.ai/free/en/papers/paula-2022-upv-arabic-hate-speech-2022/)**Angel Felipe Magnossão de Paula, Paolo Rosso, Imene Bensalem et al.*our summary*
25. **[aiXplain at Arabic Hate Speech 2022: An Ensemble Based Approach to Detecting Offensive Tweets](https://md.research.elamur.ai/free/en/papers/alzubi-2022-aixplain-arabic-hate-speech-2022/)**Salaheddin Alzubi, Thiago Castro Ferreira, Lucas Pavanelli et al.*our summary*
26. **[eRock at Qur'an QA 2022: Contemporary Deep Neural Networks for Qur'an based Reading Comprehension Question Answers](https://md.research.elamur.ai/free/en/papers/aftab-2022-erock-qur-qa-2022-contemporary/)**Esha Aftab, Muhammad Kamran Malik*our summary*
27. **[iCompass at Arabic Hate Speech 2022: Detect Hate Speech Using QRNN and Transformers](https://md.research.elamur.ai/free/en/papers/bennessir-2022-icompass-arabic-hate-speech-2022/)**Mohamed Aziz Bennessir, Malek Rhouma, Hatem Haddad et al.*our summary*
28. **[niksss at Qur'an QA 2022: A Heavily Optimized BERT Based Model for Answering Questions from the Holy Qu'ran](https://md.research.elamur.ai/free/en/papers/singh-2022-niksss-qur-qa-2022-heavily/)**Nikhil Singh*our summary*
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