---
title: "Arabic Natural Language Processing Workshop… — works"
description: "34 works of Arabic Natural Language Processing Workshop (WANLP) in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/venues/wanlp/works/"
---
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# Works of Arabic Natural Language Processing Workshop (WANLP)

34 works · the most cited first · [← Arabic Natural Language Processing Workshop…](https://md.research.elamur.ai/free/en/venues/wanlp/)

1. [**The MADAR Shared Task on Arabic Fine-Grained Dialect Identification**Houda Bouamor, Sabit Hassan, Nizar Habash*2019 · 218 citations*](https://md.research.elamur.ai/free/en/papers/bouamor-2019-madar-shared-task-arabic-fine/)
2. [**Arabic Offensive Language on Twitter: Analysis and Experiments**Hamdy Mubarak, Ammar Rashed, Kareem Darwish, et al.*2021 · 165 citations*](https://md.research.elamur.ai/free/en/papers/mubarak-2021-arabic-offensive-language-twitter-analysis/)
3. [**Arabic Diacritization: Stats, Rules, and Hacks**Kareem Darwish, Hamdy Mubarak, Ahmed Abdelali*2017 · 114 citations*](https://md.research.elamur.ai/free/en/papers/darwish-2017-arabic-diacritization-stats-rules-hacks/)
4. [**Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in Arabic**Ibrahim Abu Farha, Wajdi Zaghouani, Walid Magdy*2021 · 112 citations*](https://md.research.elamur.ai/free/en/papers/farha-2021-overview-wanlp-2021-shared-task/)
5. [**A Neural Architecture for Dialectal Arabic Segmentation**Younes Samih, Mohammed Attia, Mohamed Eldesouki, et al.*2017 · 70 citations*](https://md.research.elamur.ai/free/en/papers/samih-2017-neural-architecture-dialectal-arabic-segmentation/)
6. [**Benchmarking Transformer-based Language Models for Arabic Sentiment and Sarcasm Detection**Ibrahim Abu Farha, Walid Magdy*2021 · 64 citations*](https://md.research.elamur.ai/free/en/papers/farha-2021-benchmarking-transformer-based-language-models/)
7. [**Universal Dependencies for Arabic**Dima Taji, Nizar Habash, Daniel Zeman*2017 · 52 citations*](https://md.research.elamur.ai/free/en/papers/taji-2017-universal-dependencies-arabic/)
8. [**Sarcasm and Sentiment Detection In Arabic Tweets Using BERT-based Models and Data Augmentation**Abeer Abuzayed, Hend Al-Khalifa*2021 · 36 citations*](https://md.research.elamur.ai/free/en/papers/abuzayed-2021-sarcasm-sentiment-detection-arabic-tweets/)
9. [**Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian, Iraqi and Moroccan**Faisal Alshargi, Shahd Dibas, Sakhar Alkhereyf, et al.*2019 · 34 citations*](https://md.research.elamur.ai/free/en/papers/alshargi-2019-morphologically-annotated-corpora-seven-arabic/)
10. [**Machine Learning-Based Model for Sentiment and Sarcasm Detection**Hamada Nayel, Eslam Amer, Aya Allam, et al.*2021 · 25 citations*](https://md.research.elamur.ai/free/en/papers/nayel-2021-machine-learning-based-model-sentiment/)
11. [**Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language**Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al.*2021 · 22 citations*](https://md.research.elamur.ai/free/en/papers/mahdaouy-2021-deep-multi-task-model-sarcasm/)
12. [**Leveraging Offensive Language for Sarcasm and Sentiment Detection in Arabic**Fatemah Husain, Ozlem Uzuner*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/husain-2021-leveraging-offensive-language-sarcasm-sentiment/)
13. [**SarcasmDet at Sarcasm Detection Task 2021 in Arabic using AraBERT Pretrained Model**Dalya Faraj, Malak Abdullah*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/faraj-2021-sarcasmdet-sarcasm-detection-task-2021/)
14. [**Arabic Tweet-Act: Speech Act Recognition for Arabic Asynchronous Conversations**Bushra Algotiml, AbdelRahim Elmadany, Walid Magdy*2019 · 18 citations*](https://md.research.elamur.ai/free/en/papers/algotiml-2019-arabic-tweet-act-speech-act/)
15. [**A Contextual Word Embedding for Arabic Sarcasm Detection with Random Forests**Hazem Elgabry, Shimaa Attia, Ahmed Abdel-Rahman, et al.*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/elgabry-2021-contextual-word-embedding-arabic-sarcasm/)
16. [**Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment Analysis**Abdullah I. Alharbi, Mark Lee*2021 · 14 citations*](https://md.research.elamur.ai/free/en/papers/alharbi-2021-multi-task-learning-combination-contextualised/)
17. [**Preprocessing Solutions for Detection of Sarcasm and Sentiment for Arabic**Mohamed Lichouri, Mourad Abbas, Besma Benaziz, et al.*2021 · 13 citations*](https://md.research.elamur.ai/free/en/papers/lichouri-2021-preprocessing-solutions-detection-sarcasm-sentiment/)
18. [**AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic Tweets**Anshul Wadhawan*2021 · 11 citations*](https://md.research.elamur.ai/free/en/papers/wadhawan-2021-arabert-farasa-segmentation-based-approach/)
19. [**On the Importance of Tokenization in Arabic Embedding Models**Mohamed Alkaoud, Mairaj Syed*2020 · 11 citations*](https://md.research.elamur.ai/free/en/papers/alkaoud-2020-importance-tokenization-arabic-embedding-models/)
20. [**Towards Arabic Sentence Simplification via Classification and Generative Approaches**Nouran Khallaf, Serge Sharoff, Rasha Soliman*2022 · 10 citations*](https://md.research.elamur.ai/free/en/papers/khallaf-2022-arabic-sentence-simplification-classification-generative/)
21. [**The IDC System for Sentiment Classification and Sarcasm Detection in Arabic**Abraham Israeli, Yotam Nahum, Shai Fine, et al.*2021 · 10 citations*](https://md.research.elamur.ai/free/en/papers/israeli-2021-idc-system-sentiment-classification-sarcasm/)
22. [**Sarcasm and Sentiment Detection in Arabic language A Hybrid Approach Combining Embeddings and Rule-based Features**Kamel Gaanoun, Imade Benelallam*2021 · 9 citations*](https://md.research.elamur.ai/free/en/papers/gaanoun-2021-sarcasm-sentiment-detection-arabic-language/)
23. [**Morphological Analysis for the Maltese Language: The challenges of a hybrid system**Claudia Borg, Albert Gatt*2017 · 9 citations*](https://md.research.elamur.ai/free/en/papers/borg-2017-morphological-analysis-maltese-language-challenges/)
24. [**ArSarcasm Shared Task: An Ensemble BERT Model for SarcasmDetection in Arabic Tweets**Laila Bashmal, Daliyah AlZeer*2021 · 8 citations*](https://md.research.elamur.ai/free/en/papers/bashmal-2021-arsarcasm-shared-task-ensemble-bert/)
25. [**iCompass at Shared Task on Sarcasm and Sentiment Detection in Arabic**Malek Naski, Abir Messaoudi, Hatem Haddad, et al.*2021 · 7 citations*](https://md.research.elamur.ai/free/en/papers/naski-2021-icompass-shared-task-sarcasm-sentiment/)
26. [**Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification**Amey Hengle, Atharva Kshirsagar, Shaily Desai, et al.*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/hengle-2021-combining-context-free-contextualized-representations/)
27. [**Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings**Ahmed El-Kishky, Xingyu Fu, Aseel Addawood, et al.*2019 · 6 citations*](https://md.research.elamur.ai/free/en/papers/kishky-2019-constrained-sequence-sequence-semitic-root/)
28. [**Assessing the Linguistic Knowledge in Arabic Pre-trained Language Models Using Minimal Pairs**Wafa Abdullah Alrajhi, Hend Al-Khalifa, Abdulmalik AlSalman*2022 · 5 citations*](https://md.research.elamur.ai/free/en/papers/alrajhi-2022-assessing-linguistic-knowledge-arabic-pre/)
29. [**WANLP 2021 Shared-Task: Towards Irony and Sentiment Detection in Arabic Tweets using Multi-headed-LSTM-CNN-GRU and MaRBERT**Reem Abdel-Salam*2021 · 5 citations*](https://md.research.elamur.ai/free/en/papers/salam-2021-wanlp-2021-shared-task-irony/)
30. [**DeepBlueAI at WANLP-EACL2021 task 2: A Deep Ensemble-based Method for Sarcasm and Sentiment Detection in Arabic**Bingyan Song, Chunguang Pan, Shengguang Wang, et al.*2021 · 5 citations*](https://md.research.elamur.ai/free/en/papers/song-2021-deepblueai-wanlp-eacl2021-task-2/)
31. [**Transliteration of Judeo-Arabic Texts into Arabic Script Using Recurrent Neural Networks**Ori Terner, Kfir Bar, Nachum Dershowitz*2020 · 5 citations*](https://md.research.elamur.ai/free/en/papers/terner-2020-transliteration-judeo-arabic-texts-into/)
32. [**Joint Coreference Resolution for Zeros and non-Zeros in Arabic**Abdulrahman Aloraini, Sameer Pradhan, Massimo Poesio*2022 · 4 citations*](https://md.research.elamur.ai/free/en/papers/aloraini-2022-joint-coreference-resolution-zeros-non/)
33. [**Coreference Annotation of an Arabic Corpus using a Virtual World Game**Wateen Abdullah Aliady, Abdulrahman Aloraini, Christopher Madge, et al.*2022 · 3 citations*](https://md.research.elamur.ai/free/en/papers/aliady-2022-coreference-annotation-arabic-corpus-virtual/)
34. [**Sarcasm and Sentiment Detection in Arabic: investigating the interest of character-level features**Dhaou Ghoul, Gaël Lejeune*2021 · 2 citations*](https://md.research.elamur.ai/free/en/papers/ghoul-2021-sarcasm-sentiment-detection-arabic-investigating/)
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