---
title: "Who cites Arabic Named Entity Recognition: — 11 citing papers"
description: "11 papers of the Elamur Research library cite «Arabic Named Entity Recognition: Using Features Extracted from Noisy Data», found in their…"
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---
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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 Features…](https://md.research.elamur.ai/free/en/papers/benajiba-2010-arabic-named-entity-recognition-features/) / cited by

# Who cites «Arabic Named Entity Recognition: Using Features Extracted from Noisy Data»

11 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «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/)

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. **[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*
3. **[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*
4. **[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*
5. **[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*
6. **[Automatically Developing a Fine-grained Arabic Named Entity Corpus and Gazetteer by utilizing Wikipedia](https://md.research.elamur.ai/free/en/papers/alotaibi-2013-automatically-developing-fine-grained-arabic/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Fahd Alotaibi, Mark Lee*2013 · 14 citations*
7. **[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*
8. **[Arabic Named Entity Recognition Using Transformer-based-CRF Model](https://md.research.elamur.ai/free/en/papers/qurishi-2021-arabic-named-entity-recognition-transformer/) [International Conference on Natural Language and Speech Processing](https://md.research.elamur.ai/free/en/venues/icnlsp/)**Muhammad Saleh Al-Qurishi, Riad Souissi*2021 · 7 citations*
9. [**Comparing Open Arabic Named Entity Recognition Tools arXiv:2205.05857**Abdullah Aldumaykhi, Saad Otai, Abdulkareem Alsudais*2022 · 4 citations*](https://md.research.elamur.ai/free/en/papers/aldumaykhi-2022-comparing-open-arabic-named-entity/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/benajiba-2010-arabic-named-entity-recognition-features/) — Arabic Named Entity Recognition: Using Features Extracted from Noisy Data