---
title: "Who cites Arabic Named Entity Recognition — 29 citing papers"
description: "29 papers of the Elamur Research library cite «Arabic Named Entity Recognition using Optimized Feature Sets», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/benajiba-2008-arabic-named-entity-recognition-optimized/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Arabic Named Entity Recognition using Optimized…](https://md.research.elamur.ai/free/en/papers/benajiba-2008-arabic-named-entity-recognition-optimized/) / cited by

# Who cites «Arabic Named Entity Recognition using Optimized Feature Sets»

29 papers of our library cite it (of the 149,439 whose bibliographies we read) · 26 with a page here, the most cited first · [← back to «Arabic Named Entity Recognition using Optimized Feature Sets»](https://md.research.elamur.ai/free/en/papers/benajiba-2008-arabic-named-entity-recognition-optimized/)

1. **[A Survey of Arabic Named Entity Recognition and Classification](https://md.research.elamur.ai/free/en/papers/shaalan-2014-survey-arabic-named-entity-recognition/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Khaled Shaalan*2014 · 242 citations*
2. [**Pre-Training BERT on Arabic Tweets: Practical Considerations arXiv:2102.10684**Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak, et al.*2021 · 150 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2021-pre-training-bert-arabic-tweets/)
3. **[Named Entity Recognition using Cross-lingual Resources: Arabic as an Example](https://md.research.elamur.ai/free/en/papers/darwish-2013-named-entity-recognition-cross-lingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kareem Darwish*2013 · 110 citations*
4. [**Simplified Feature Set for Arabic Named Entity Recognition Proceedings of the 2010 Named Entities Workshop**Ahmed Abdul-Hamid, Kareem Darwish*2010 · 98 citations*](https://md.research.elamur.ai/free/en/papers/hamid-2010-simplified-feature-set-arabic-named/)
5. **[Named Entity Recognition for Arabic Social Media](https://md.research.elamur.ai/free/en/papers/zirikly-2015-named-entity-recognition-arabic-social/) [Workshop on Vector Space Modeling for Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-vector-space-modeling-for-natural-language-processing/)**Ayah Zirikly, Mona Diab*2015 · 76 citations*
6. **[A Pipeline Arabic Named Entity Recognition using a Hybrid Approach](https://md.research.elamur.ai/free/en/papers/oudah-2012-pipeline-arabic-named-entity-recognition/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Mai Oudah, Khaled Shaalan*2012 · 61 citations*
7. **[An Automatically Built Named Entity Lexicon for Arabic](https://md.research.elamur.ai/free/en/papers/attia-2010-automatically-built-named-entity-lexicon/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mohammed Attia, Antonio Toral, Lamia Tounsi, et al.*2010 · 45 citations*
8. **[Recall-Oriented Learning of Named Entities in Arabic Wikipedia](https://md.research.elamur.ai/free/en/papers/mohit-2012-recall-oriented-learning-named-entities/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Behrang Mohit, Nathan Schneider, Rishav Bhowmick, et al.*2012 · 42 citations*
9. **[Arabic Named Entity Recognition: Using Features Extracted from Noisy Data](https://md.research.elamur.ai/free/en/papers/benajiba-2010-arabic-named-entity-recognition-features/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yassine Benajiba, Imed Zitouni, Mona Diab, et al.*2010 · 42 citations*
10. **[Simple Effective Microblog Named Entity Recognition: Arabic as an Example](https://md.research.elamur.ai/free/en/papers/darwish-2014-simple-effective-microblog-named-entity/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kareem Darwish, Wei Gao*2014 · 36 citations*
11. [**Fine-Grain Morphological Analyzer and Part-of-Speech Tagger for Arabic Text**Majdi Sawalha, Eric Atwell*2010 · 28 citations*](https://md.research.elamur.ai/free/en/papers/sawalha-2010-fine-grain-morphological-analyzer-part/)
12. [**Statistical Parsing by Machine Learning from a Classical Arabic Treebank**Kais Dukes*2015 · 27 citations*](https://md.research.elamur.ai/free/en/papers/dukes-2015-statistical-parsing-machine-learning-classical/)
13. **[A Semi-Supervised BERT Approach for Arabic Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/helwe-2020-semi-supervised-bert-approach-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Chadi Helwe, Ghassan Dib, Mohsen Shamas, et al.*2020 · 25 citations*
14. **[Named Entity Recognition System for Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/zirikly-2014-named-entity-recognition-system-dialectal/) [EMNLP Workshop on Arabic Natural Language Processing (ANLP)](https://md.research.elamur.ai/free/en/venues/emnlp-workshop-on-arabic-natural-language-processing-anlp/)**Ayah Zirikly, Mona Diab*2014 · 23 citations*
15. **[Automatic Creation of Arabic Named Entity Annotated Corpus Using Wikipedia](https://md.research.elamur.ai/free/en/papers/althobaiti-2014-automatic-creation-arabic-named-entity/) [Student Research Workshop at the Conference of the European Chapter of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/student-research-workshop-at-the-conference-of-the-european-chapter-of-the/)**Maha Althobaiti, Udo Kruschwitz, Massimo Poesio*2014 · 22 citations*
16. **[A Hybrid Approach to Features Representation for Fine-grained Arabic Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/alotaibi-2014-hybrid-approach-features-representation-fine/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Fahd Alotaibi, Mark Lee*2014 · 20 citations*
17. **[SMARTies: Sentiment Models for Arabic Target entities](https://md.research.elamur.ai/free/en/papers/farra-2017-smarties-sentiment-models-arabic-target/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Noura Farra, Kathy McKeown*2017 · 15 citations*
18. **[CBAS: context based arabic stemmer](https://md.research.elamur.ai/free/en/papers/el-defrawy-2015-cbas-context-based-arabic-stemmer/) [International Journal on Natural Language Computing](https://md.research.elamur.ai/free/en/venues/international-journal-on-natural-language-computing/)**Mahmoud El-Defrawy, Yasser El-Sonbaty, Nahla A. Belal*2015 · 12 citations*
19. [**Arabic Named Entity Recognition using Word Representations arXiv:1804.05630 · International Journal of Computer Science and Information Security (IJCSIS), Vol. 14, No. 8, August 2016**Ismail El Bazi, Nabil Laachfoubi*2016 · 10 citations*](https://md.research.elamur.ai/free/en/papers/bazi-2018-arabic-named-entity-recognition-using/)
20. **[ArabIE: Joint Entity, Relation and Event Extraction for Arabic](https://md.research.elamur.ai/free/en/papers/khbir-2022-arabie-joint-entity-relation-event/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Niama El Khbir, Nadi Tomeh, Thierry Charnois*2022 · 9 citations*
21. **[Arabic Word Segmentation for Better Unit of Analysis](https://md.research.elamur.ai/free/en/papers/benajiba-2010-arabic-word-segmentation-better-unit/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yassine Benajiba, Imed Zitouni*2010 · 8 citations*
22. **[Annotating events, Time and Place Expressions in Arabic Texts](https://md.research.elamur.ai/free/en/papers/aliane-2013-annotating-events-time-place-expressions/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Hassina Aliane, Wassila Guendouzi, Amina Mokrani*2013 · 7 citations*
23. **[Morphology-based Entity and Relational Entity Extraction Framework for Arabic](https://md.research.elamur.ai/free/en/papers/jaber-2017-morphology-based-entity-relational-entity/) [Traitement Automatique des Langues](https://md.research.elamur.ai/free/en/venues/tal/)**Amin Jaber, Fadi A. Zaraket*2017 · 5 citations*
24. **[Arabic Mention Detection: Toward Better Unit of Analysis](https://md.research.elamur.ai/free/en/papers/benajiba-2010-arabic-mention-detection-better-unit/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yassine Benajiba, Imed Zitouni*2010 · 1 citation*
25. **[Traitement automatique des entités nommées en arabe: détection et traduction Automatic processing of Arabic named entities: detection and translation](https://md.research.elamur.ai/free/en/papers/braham-2013-traitement-automatique-des-entites-nommees/) [Traitement Automatique des Langues](https://md.research.elamur.ai/free/en/venues/tal/)**Souhir Gahbiche-Braham, Hélène Bonneau-Maynard, François Yvon*2013*
26. **[Repérage des entités nommées pour l'arabe : adaptation non-supervisée et combinaison de systèmes (Named Entity Recognition for Arabic : Unsupervised adaptation and Systems combination) in French](https://md.research.elamur.ai/free/en/papers/braham-2012-reperage-des-entites-nommees-pour/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Souhir Gahbiche-Braham, Hélène Bonneau-Maynard, Thomas Lavergne, et al.*2012*

3 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/benajiba-2008-arabic-named-entity-recognition-optimized/) — Arabic Named Entity Recognition using Optimized Feature Sets