---
title: "WANLP 2021 — all accepted papers — the most cited first"
description: "All 53 papers of WANLP 2021, the most cited first; those with our summary link to it. Among them: A Contextual Word Embedding for Arabic…"
canonical: "https://research.elamur.ai/free/en/venues/wanlp/2021/papers/"
---
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# WANLP 2021: all accepted papers

53 papers · the most cited first · [← WANLP 2021](https://md.research.elamur.ai/free/en/venues/wanlp/2021/)

1. **[A Contextual Word Embedding for Arabic Sarcasm Detection with Random Forests](https://md.research.elamur.ai/free/en/papers/elgabry-2021-contextual-word-embedding-arabic-sarcasm/)**Hazem Elgabry, Shimaa Attia, Ahmed Abdel-Rahman et al.*our summary*
2. **[ALUE: Arabic Language Understanding Evaluation ↗](https://aclanthology.org/2021.wanlp-1.18/)**Haitham Seelawi, Ibraheem Tuffaha, Mahmoud Gzawi et al.
3. **[Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared Task ↗](https://aclanthology.org/2021.wanlp-1.29/)**Badr AlKhamissi, Mohamed Gabr, Muhammad ElNokrashy et al.
4. **[Adult Content Detection on Arabic Twitter: Analysis and Experiments ↗](https://aclanthology.org/2021.wanlp-1.14/)**Hamdy Mubarak, Sabit Hassan, Ahmed Abdelali
5. **[ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks ↗](https://aclanthology.org/2021.wanlp-1.9/)**Fatima Haouari, Maram Hasanain, Reem Suwaileh et al.
6. **[ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection ↗](https://aclanthology.org/2021.wanlp-1.8/)**Fatima Haouari, Maram Hasanain, Reem Suwaileh et al.
7. **[ArSarcasm Shared Task: An Ensemble BERT Model for SarcasmDetection in Arabic Tweets](https://md.research.elamur.ai/free/en/papers/bashmal-2021-arsarcasm-shared-task-ensemble-bert/)**Laila Bashmal, Daliyah AlZeer*our summary*
8. **[AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic Tweets](https://md.research.elamur.ai/free/en/papers/wadhawan-2021-arabert-farasa-segmentation-based-approach/)**Anshul Wadhawan*our summary*
9. **[AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding](https://md.research.elamur.ai/free/en/papers/antoun-2021-araelectra-pre-training-text-discriminators/)**Wissam Antoun, Fady Baly, Hazem Hajj*our summary*
10. **[AraFacts: The First Large Arabic Dataset of Naturally Occurring Claims ↗](https://aclanthology.org/2021.wanlp-1.26/)**Zien Sheikh Ali, Watheq Mansour, Tamer Elsayed et al.
11. **[AraGPT2: Pre-Trained Transformer for Arabic Language Generation](https://md.research.elamur.ai/free/en/papers/antoun-2021-aragpt2-pre-trained-transformer-arabic/)**Wissam Antoun, Fady Baly, Hazem Hajj*our summary*
12. **[Arabic Compact Language Modelling for Resource Limited Devices ↗](https://aclanthology.org/2021.wanlp-1.6/)**Zaid Alyafeai, Irfan Ahmad
13. **[Arabic Dialect Identification based on a Weighted Concatenation of TF-IDF Features ↗](https://aclanthology.org/2021.wanlp-1.33/)**Mohamed Lichouri, Mourad Abbas, Khaled Lounnas et al.
14. **[Arabic Emoji Sentiment Lexicon (Arab-ESL): A Comparison between Arabic and European Emoji Sentiment Lexicons ↗](https://aclanthology.org/2021.wanlp-1.7/)**Shatha Ali A. Hakami, Robert Hendley, Phillip Smith
15. **[Arabic Offensive Language on Twitter: Analysis and Experiments](https://md.research.elamur.ai/free/en/papers/mubarak-2021-arabic-offensive-language-twitter-analysis/)**Hamdy Mubarak, Ammar Rashed, Kareem Darwish et al.*our summary*
16. **[Automatic Difficulty Classification of Arabic Sentences ↗](https://aclanthology.org/2021.wanlp-1.11/)**Nouran Khallaf, Serge Sharoff
17. **[Automatic Romanization of Arabic Bibliographic Records ↗](https://aclanthology.org/2021.wanlp-1.23/)**Fadhl Eryani, Nizar Habash
18. **[BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification ↗](https://aclanthology.org/2021.wanlp-1.31/)**Abdellah El Mekki, Abdelkader El Mahdaouy, Kabil Essefar et al.
19. **[Benchmarking Transformer-based Language Models for Arabic Sentiment and Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/farha-2021-benchmarking-transformer-based-language-models/)**Ibrahim Abu Farha, Walid Magdy*our summary*
20. **[Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification](https://md.research.elamur.ai/free/en/papers/hengle-2021-combining-context-free-contextualized-representations/)**Amey 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 Models ↗](https://aclanthology.org/2021.wanlp-1.30/)**Maha J. Althobaiti
22. **[Country-level Arabic Dialect Identification using RNNs with and without Linguistic Features ↗](https://aclanthology.org/2021.wanlp-1.32/)**Elsayed Issa, Mohammed AlShakhori, Reda Al-Bahrani et al.
23. **[Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language](https://md.research.elamur.ai/free/en/papers/mahdaouy-2021-deep-multi-task-model-sarcasm/)**Abdelkader 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 Arabic](https://md.research.elamur.ai/free/en/papers/song-2021-deepblueai-wanlp-eacl2021-task-2/)**Bingyan Song, Chunguang Pan, Shengguang Wang et al.*our summary*
25. **[DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings ↗](https://aclanthology.org/2021.wanlp-1.2/)**Muhammad Abdul-Mageed, Shady Elbassuoni, Jad Doughman et al.
26. **[Dialect Identification in Nuanced Arabic Tweets Using Farasa Segmentation and AraBERT ↗](https://aclanthology.org/2021.wanlp-1.35/)**Anshul Wadhawan
27. **[Dynamic Ensembles in Named Entity Recognition for Historical Arabic Texts ↗](https://aclanthology.org/2021.wanlp-1.12/)**Muhammad Majadly, Tomer Sagi
28. **[Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data ↗](https://aclanthology.org/2021.wanlp-1.17/)**Tarek Naous, Wissam Antoun, Reem Mahmoud et al.
29. **[Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures ↗](https://aclanthology.org/2021.wanlp-1.27/)**Minh Van Nguyen, Thien Huu Nguyen
30. **[Introducing A large Tunisian Arabizi Dialectal Dataset for Sentiment Analysis ↗](https://aclanthology.org/2021.wanlp-1.25/)**Chayma Fourati, Hatem Haddad, Abir Messaoudi et al.
31. **[Kawarith: an Arabic Twitter Corpus for Crisis Events ↗](https://aclanthology.org/2021.wanlp-1.5/)**Alaa Alharbi, Mark Lee
32. **[Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language ↗](https://aclanthology.org/2021.wanlp-1.16/)**Hala Mulki, Bilal Ghanem
33. **[Leveraging Offensive Language for Sarcasm and Sentiment Detection in Arabic](https://md.research.elamur.ai/free/en/papers/husain-2021-leveraging-offensive-language-sarcasm-sentiment/)**Fatemah Husain, Ozlem Uzuner*our summary*
34. **[Machine Learning-Based Approach for Arabic Dialect Identification ↗](https://aclanthology.org/2021.wanlp-1.34/)**Hamada Nayel, Ahmed Hassan, Mahmoud Sobhi et al.
35. **[Machine Learning-Based Model for Sentiment and Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/nayel-2021-machine-learning-based-model-sentiment/)**Hamada 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 Analysis](https://md.research.elamur.ai/free/en/papers/alharbi-2021-multi-task-learning-combination-contextualised/)**Abdullah I. Alharbi, Mark Lee*our summary*
37. **[NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task](https://md.research.elamur.ai/free/en/papers/mageed-2021-nadi-2021-second-nuanced-arabic/)**Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany et al.*our summary*
38. **[Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in Arabic](https://md.research.elamur.ai/free/en/papers/farha-2021-overview-wanlp-2021-shared-task/)**Ibrahim Abu Farha, Wajdi Zaghouani, Walid Magdy*our summary*
39. **[Preprocessing Solutions for Detection of Sarcasm and Sentiment for Arabic](https://md.research.elamur.ai/free/en/papers/lichouri-2021-preprocessing-solutions-detection-sarcasm-sentiment/)**Mohamed Lichouri, Mourad Abbas, Besma Benaziz et al.*our summary*
40. **[QADI: Arabic Dialect Identification in the Wild ↗](https://aclanthology.org/2021.wanlp-1.1/)**Ahmed Abdelali, Hamdy Mubarak, Younes Samih et al.
41. **[QuranTree.jl: A Julia Package for Quranic Arabic Corpus ↗](https://aclanthology.org/2021.wanlp-1.22/)**Al-Ahmadgaid Asaad
42. **[Quranic Verses Semantic Relatedness Using AraBERT ↗](https://aclanthology.org/2021.wanlp-1.19/)**Abdullah Alsaleh, Eric Atwell, Abdulrahman Altahhan
43. **[SERAG: Semantic Entity Retrieval from Arabic Knowledge Graphs ↗](https://aclanthology.org/2021.wanlp-1.24/)**Saher Esmeir
44. **[Sarcasm and Sentiment Detection In Arabic Tweets Using BERT-based Models and Data Augmentation](https://md.research.elamur.ai/free/en/papers/abuzayed-2021-sarcasm-sentiment-detection-arabic-tweets/)**Abeer Abuzayed, Hend Al-Khalifa*our summary*
45. **[Sarcasm and Sentiment Detection in Arabic language A Hybrid Approach Combining Embeddings and Rule-based Features](https://md.research.elamur.ai/free/en/papers/gaanoun-2021-sarcasm-sentiment-detection-arabic-language/)**Kamel Gaanoun, Imade Benelallam*our summary*
46. **[Sarcasm and Sentiment Detection in Arabic: investigating the interest of character-level features](https://md.research.elamur.ai/free/en/papers/ghoul-2021-sarcasm-sentiment-detection-arabic-investigating/)**Dhaou Ghoul, Gaël Lejeune*our summary*
47. **[SarcasmDet at Sarcasm Detection Task 2021 in Arabic using AraBERT Pretrained Model](https://md.research.elamur.ai/free/en/papers/faraj-2021-sarcasmdet-sarcasm-detection-task-2021/)**Dalya Faraj, Malak Abdullah*our summary*
48. **[The IDC System for Sentiment Classification and Sarcasm Detection in Arabic](https://md.research.elamur.ai/free/en/papers/israeli-2021-idc-system-sentiment-classification-sarcasm/)**Abraham Israeli, Yotam Nahum, Shai Fine et al.*our summary*
49. **[The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models ↗](https://aclanthology.org/2021.wanlp-1.10/)**Go Inoue, Bashar Alhafni, Nurpeiis Baimukan et al.
50. **[UL2C: Mapping User Locations to Countries on Arabic Twitter ↗](https://aclanthology.org/2021.wanlp-1.15/)**Hamdy Mubarak, Sabit Hassan
51. **[WANLP 2021 Shared-Task: Towards Irony and Sentiment Detection in Arabic Tweets using Multi-headed-LSTM-CNN-GRU and MaRBERT](https://md.research.elamur.ai/free/en/papers/salam-2021-wanlp-2021-shared-task-irony/)**Reem Abdel-Salam*our summary*
52. **[What does BERT Learn from Arabic Machine Reading Comprehension Datasets? ↗](https://aclanthology.org/2021.wanlp-1.4/)**Eman Albilali, Nora Altwairesh, Manar Hosny
53. **[iCompass at Shared Task on Sarcasm and Sentiment Detection in Arabic](https://md.research.elamur.ai/free/en/papers/naski-2021-icompass-shared-task-sarcasm-sentiment/)**Malek Naski, Abir Messaoudi, Hatem Haddad et al.*our summary*
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