Table of Contents

• QADI: Arabic Dialect Identification in the WildAhmed Abdelali, Hamdy Mubarak, Younes Samih, Sabit Hassan, Kareem Darwish. 1-10 [doi]
• DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word EmbeddingsMuhammad Abdul-Mageed, Shady Elbassuoni, Jad Doughman, AbdelRahim A. Elmadany, El Moatez Billah Nagoudi, Yorgo Zoughby, Ahmad Shaher, Iskander Gaba, Ahmed Helal, Mohammed Elrazzaz. 11-20 [doi]
• Benchmarking Transformer-based Language Models for Arabic Sentiment and Sarcasm DetectionIbrahim Abu Farha, Walid Magdy. 21-31 [doi]
• What does BERT Learn from Arabic Machine Reading Comprehension Datasets?Eman Albilali, Nora Al-Twairesh, Manar Ibrahim Hosny. 32-41 [doi]
• Kawarith: an Arabic Twitter Corpus for Crisis EventsAlaa Alharbi, Mark Lee. 42-52 [doi]
• Arabic Compact Language Modelling for Resource Limited DevicesZaid Alyafeai, Irfan Ahmad 0001. 53-59 [doi]
• Arabic Emoji Sentiment Lexicon (Arab-ESL): A Comparison between Arabic and European Emoji Sentiment LexiconsShatha Ali A Hakami, Robert J. Hendley, Phillip Smith. 60-71 [doi]
• ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation DetectionFatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed. 72-81 [doi]
• ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation NetworksFatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed. 82-91 [doi]
• The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language ModelsGo Inoue, Bashar Alhafni, Nurpeiis Baimukan, Houda Bouamor, Nizar Habash. 92-104 [doi]
• Automatic Difficulty Classification of Arabic SentencesNouran Khallaf, Serge Sharoff. 105-114 [doi]
• Dynamic Ensembles in Named Entity Recognition for Historical Arabic TextsMuhammad Majadly, Tomer Sagi. 115-125 [doi]
• Arabic Offensive Language on Twitter: Analysis and ExperimentsHamdy Mubarak, Ammar Rashed, Kareem Darwish, Younes Samih, Ahmed Abdelali. 126-135 [doi]
• Adult Content Detection on Arabic Twitter: Analysis and ExperimentsHamdy Mubarak, Sabit Hassan, Ahmed Abdelali. 136-144 [doi]
• UL2C: Mapping User Locations to Countries on Arabic TwitterHamdy Mubarak, Sabit Hassan. 145-153 [doi]
• Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic LanguageHala Mulki, Bilal Ghanem. 154-163 [doi]
• Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little DataTarek Naous, Wissam Antoun, Reem A. Mahmoud, Hazem M. Hajj. 164-172 [doi]
• ALUE: Arabic Language Understanding EvaluationHaitham Seelawi, Ibraheem Tuffaha, Mahmoud Gzawi, Wael Farhan, Bashar Talafha, Riham Badawi, Zyad Sober, Oday Al-Dweik, Abed Alhakim Freihat, Hussein T. Al-Natsheh. 173-184 [doi]
• Quranic Verses Semantic Relatedness Using AraBERTAbdullah Alsaleh, Eric Atwell, Abdulrahman Altahhan. 185-190 [doi]
• AraELECTRA: Pre-Training Text Discriminators for Arabic Language UnderstandingWissam Antoun, Fady Baly, Hazem M. Hajj. 191-195 [doi]
• AraGPT2: Pre-Trained Transformer for Arabic Language GenerationWissam Antoun, Fady Baly, Hazem M. Hajj. 196-207 [doi]
• QuranTree.jl: A Julia Package for Quranic Arabic CorpusAl-Ahmadgaid Asaad. 208-212 [doi]
• Automatic Romanization of Arabic Bibliographic RecordsFadhl Eryani, Nizar Habash. 213-218 [doi]
• SERAG: Semantic Entity Retrieval from Arabic Knowledge GraphsSaher Esmeir. 219-225 [doi]
• Introducing A large Tunisian Arabizi Dialectal Dataset for Sentiment AnalysisChayma Fourati, Hatem Haddad, Abir Messaoudi, Moez BenHajhmida, Aymen Ben Elhaj Mabrouk, Malek Naski. 226-230 [doi]
• AraFacts: The First Large Arabic Dataset of Naturally Occurring ClaimsZien Sheikh Ali, Watheq Mansour, Tamer Elsayed, Abdulaziz Alali 0001. 231-236 [doi]
• Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence StructuresMinh Van Nguyen, Thien Huu Nguyen. 237-243 [doi]
• NADI 2021: The Second Nuanced Arabic Dialect Identification Shared TaskMuhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim A. Elmadany, Houda Bouamor, Nizar Habash. 244-259 [doi]
• Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared TaskBadr AlKhamissi, Mohamed Gabr, Muhammad N. ElNokrashy, Khaled Essam. 260-264 [doi]
• Country-level Arabic Dialect Identification Using Small Datasets with Integrated Machine Learning Techniques and Deep Learning ModelsMaha J. Althobaiti. 265-270 [doi]
• BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic IdentificationAbdellah El Mekki, Abdelkader El Mahdaouy, Kabil Essefar, Nabil El Mamoun, Ismail Berrada, Ahmed Khoumsi. 271-275 [doi]
• Country-level Arabic Dialect Identification using RNNs with and without Linguistic FeaturesElsayed Issa, Mohammed AlShakhori, Reda Al-Bahrani, Gus Hahn-Powell. 276-281 [doi]
• Arabic Dialect Identification based on a Weighted Concatenation of TF-IDF FeaturesMohamed Lichouri, Mourad Abbas, Khaled Lounnas, Besma Benaziz, Aicha Zitouni. 282-286 [doi]
• Machine Learning-Based Approach for Arabic Dialect IdentificationHamada Nayel, Ahmed Hassan, Mahmoud Sobhi, Ahmed El-Sawy. 287-290 [doi]
• Dialect Identification in Nuanced Arabic Tweets Using Farasa Segmentation and AraBERTAnshul Wadhawan. 291-295 [doi]
• Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in ArabicIbrahim Abu Farha, Wajdi Zaghouani, Walid Magdy. 296-305 [doi]
• WANLP 2021 Shared-Task: Towards Irony and Sentiment Detection in Arabic Tweets using Multi-headed-LSTM-CNN-GRU and MaRBERTReem Abdel-Salam. 306-311 [doi]
• Sarcasm and Sentiment Detection In Arabic Tweets Using BERT-based Models and Data AugmentationAbeer Abuzayed, Hend Al-Khalifa. 312-317 [doi]
• Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment AnalysisAbdullah I. Alharbi, Mark Lee 0001. 318-322 [doi]
• ArSarcasm Shared Task: An Ensemble BERT Model for SarcasmDetection in Arabic TweetsLaila Bashmal, Daliyah Hesham Alzeer. 323-328 [doi]
• Sarcasm and Sentiment Detection in Arabic: investigating the interest of character-level featuresDhaou Ghoul, Gaël Lejeune. 329-333 [doi]
• Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic LanguageAbdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, Nabil El Mamoun, Ismail Berrada, Ahmed Khoumsi. 334-339 [doi]
• A Contextual Word Embedding for Arabic Sarcasm Detection with Random ForestsHazem Elgabry, Shimaa Attia, Ahmed Abdel-Rahman, Ahmed Abdel-Ate, Sandra Girgis. 340-344 [doi]
• SarcasmDet at Sarcasm Detection Task 2021 in Arabic using AraBERT Pretrained ModelDalya Faraj, Malak Abdullah. 345-350 [doi]
• Sarcasm and Sentiment Detection in Arabic language A Hybrid Approach Combining Embeddings and Rule-based FeaturesKamel Gaanoun, Imade Benelallam. 351-356 [doi]
• Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment IdentificationAmey Hengle, Atharva Kshirsagar, Shaily Desai, Manisha Marathe. 357-363 [doi]
• Leveraging Offensive Language for Sarcasm and Sentiment Detection in ArabicFatemah Husain, Özlem Uzuner. 364-369 [doi]
• The IDC System for Sentiment Classification and Sarcasm Detection in ArabicAbraham Israeli, Yotam Nahum, Shai Fine, Kfir Bar. 370-375 [doi]
• Preprocessing Solutions for Detection of Sarcasm and Sentiment for ArabicMohamed Lichouri, Mourad Abbas, Besma Benaziz, Aicha Zitouni, Khaled Lounnas. 376-380 [doi]
• iCompass at Shared Task on Sarcasm and Sentiment Detection in ArabicMalek Naski, Abir Messaoudi, Hatem Haddad, Moez BenHajhmida, Chayma Fourati, Aymen Ben Elhaj Mabrouk. 381-385 [doi]
• Machine Learning-Based Model for Sentiment and Sarcasm DetectionHamada Nayel, Eslam Amer, Aya Allam, Hanya Abdallah. 386-389 [doi]
• DeepBlueAI at WANLP-EACL2021 task 2: A Deep Ensemble-based Method for Sarcasm and Sentiment Detection in ArabicBingyan Song, Chunguang Pan, Shengguang Wang, Zhipeng Luo. 390-394 [doi]
• AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic TweetsAnshul Wadhawan. 395-400 [doi]