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WANLP 2021: all accepted papers

53 papers · the most cited first · ← WANLP 2021

  1. A Contextual Word Embedding for Arabic Sarcasm Detection with Random ForestsHazem Elgabry, Shimaa Attia, Ahmed Abdel-Rahman et al.our summary
  2. ALUE: Arabic Language Understanding EvaluationHaitham Seelawi, Ibraheem Tuffaha, Mahmoud Gzawi et al.
  3. Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared TaskBadr AlKhamissi, Mohamed Gabr, Muhammad ElNokrashy et al.
  4. Adult Content Detection on Arabic Twitter: Analysis and ExperimentsHamdy Mubarak, Sabit Hassan, Ahmed Abdelali
  5. ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation NetworksFatima Haouari, Maram Hasanain, Reem Suwaileh et al.
  6. ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation DetectionFatima Haouari, Maram Hasanain, Reem Suwaileh et al.
  7. ArSarcasm Shared Task: An Ensemble BERT Model for SarcasmDetection in Arabic TweetsLaila Bashmal, Daliyah AlZeerour summary
  8. AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic TweetsAnshul Wadhawanour summary
  9. AraELECTRA: Pre-Training Text Discriminators for Arabic Language UnderstandingWissam Antoun, Fady Baly, Hazem Hajjour summary
  10. AraFacts: The First Large Arabic Dataset of Naturally Occurring ClaimsZien Sheikh Ali, Watheq Mansour, Tamer Elsayed et al.
  11. AraGPT2: Pre-Trained Transformer for Arabic Language GenerationWissam Antoun, Fady Baly, Hazem Hajjour summary
  12. Arabic Compact Language Modelling for Resource Limited DevicesZaid Alyafeai, Irfan Ahmad
  13. Arabic Dialect Identification based on a Weighted Concatenation of TF-IDF FeaturesMohamed Lichouri, Mourad Abbas, Khaled Lounnas et al.
  14. Arabic Emoji Sentiment Lexicon (Arab-ESL): A Comparison between Arabic and European Emoji Sentiment LexiconsShatha Ali A. Hakami, Robert Hendley, Phillip Smith
  15. Arabic Offensive Language on Twitter: Analysis and ExperimentsHamdy Mubarak, Ammar Rashed, Kareem Darwish et al.our summary
  16. Automatic Difficulty Classification of Arabic SentencesNouran Khallaf, Serge Sharoff
  17. Automatic Romanization of Arabic Bibliographic RecordsFadhl Eryani, Nizar Habash
  18. BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic IdentificationAbdellah El Mekki, Abdelkader El Mahdaouy, Kabil Essefar et al.
  19. Benchmarking Transformer-based Language Models for Arabic Sentiment and Sarcasm DetectionIbrahim Abu Farha, Walid Magdyour summary
  20. Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment IdentificationAmey Hengle, Atharva Kshirsagar, Shaily Desai et al.our summary
  21. Country-level Arabic Dialect Identification Using Small Datasets with Integrated Machine Learning Techniques and Deep Learning ModelsMaha J. Althobaiti
  22. Country-level Arabic Dialect Identification using RNNs with and without Linguistic FeaturesElsayed Issa, Mohammed AlShakhori, Reda Al-Bahrani et al.
  23. Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic LanguageAbdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar et al.our summary
  24. DeepBlueAI at WANLP-EACL2021 task 2: A Deep Ensemble-based Method for Sarcasm and Sentiment Detection in ArabicBingyan Song, Chunguang Pan, Shengguang Wang et al.our summary
  25. DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word EmbeddingsMuhammad Abdul-Mageed, Shady Elbassuoni, Jad Doughman et al.
  26. Dialect Identification in Nuanced Arabic Tweets Using Farasa Segmentation and AraBERTAnshul Wadhawan
  27. Dynamic Ensembles in Named Entity Recognition for Historical Arabic TextsMuhammad Majadly, Tomer Sagi
  28. Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little DataTarek Naous, Wissam Antoun, Reem Mahmoud et al.
  29. Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence StructuresMinh Van Nguyen, Thien Huu Nguyen
  30. Introducing A large Tunisian Arabizi Dialectal Dataset for Sentiment AnalysisChayma Fourati, Hatem Haddad, Abir Messaoudi et al.
  31. Kawarith: an Arabic Twitter Corpus for Crisis EventsAlaa Alharbi, Mark Lee
  32. Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic LanguageHala Mulki, Bilal Ghanem
  33. Leveraging Offensive Language for Sarcasm and Sentiment Detection in ArabicFatemah Husain, Ozlem Uzunerour summary
  34. Machine Learning-Based Approach for Arabic Dialect IdentificationHamada Nayel, Ahmed Hassan, Mahmoud Sobhi et al.
  35. Machine Learning-Based Model for Sentiment and Sarcasm DetectionHamada Nayel, Eslam Amer, Aya Allam et al.our summary
  36. Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment AnalysisAbdullah I. Alharbi, Mark Leeour summary
  37. NADI 2021: The Second Nuanced Arabic Dialect Identification Shared TaskMuhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany et al.our summary
  38. Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in ArabicIbrahim Abu Farha, Wajdi Zaghouani, Walid Magdyour summary
  39. Preprocessing Solutions for Detection of Sarcasm and Sentiment for ArabicMohamed Lichouri, Mourad Abbas, Besma Benaziz et al.our summary
  40. QADI: Arabic Dialect Identification in the WildAhmed Abdelali, Hamdy Mubarak, Younes Samih et al.
  41. QuranTree.jl: A Julia Package for Quranic Arabic CorpusAl-Ahmadgaid Asaad
  42. Quranic Verses Semantic Relatedness Using AraBERTAbdullah Alsaleh, Eric Atwell, Abdulrahman Altahhan
  43. SERAG: Semantic Entity Retrieval from Arabic Knowledge GraphsSaher Esmeir
  44. Sarcasm and Sentiment Detection In Arabic Tweets Using BERT-based Models and Data AugmentationAbeer Abuzayed, Hend Al-Khalifaour summary
  45. Sarcasm and Sentiment Detection in Arabic language A Hybrid Approach Combining Embeddings and Rule-based FeaturesKamel Gaanoun, Imade Benelallamour summary
  46. Sarcasm and Sentiment Detection in Arabic: investigating the interest of character-level featuresDhaou Ghoul, Gaël Lejeuneour summary
  47. SarcasmDet at Sarcasm Detection Task 2021 in Arabic using AraBERT Pretrained ModelDalya Faraj, Malak Abdullahour summary
  48. The IDC System for Sentiment Classification and Sarcasm Detection in ArabicAbraham Israeli, Yotam Nahum, Shai Fine et al.our summary
  49. The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language ModelsGo Inoue, Bashar Alhafni, Nurpeiis Baimukan et al.
  50. UL2C: Mapping User Locations to Countries on Arabic TwitterHamdy Mubarak, Sabit Hassan
  51. WANLP 2021 Shared-Task: Towards Irony and Sentiment Detection in Arabic Tweets using Multi-headed-LSTM-CNN-GRU and MaRBERTReem Abdel-Salamour summary
  52. What does BERT Learn from Arabic Machine Reading Comprehension Datasets?Eman Albilali, Nora Altwairesh, Manar Hosny
  53. iCompass at Shared Task on Sarcasm and Sentiment Detection in ArabicMalek Naski, Abir Messaoudi, Hatem Haddad et al.our summary

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