---
title: "Who cites QARAB: A: Question Answering — 8 citing papers"
description: "8 papers of the Elamur Research library cite «QARAB: A: Question Answering System to Support the Arabic Language», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/hammo-2002-qarab-question-answering-system-support/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [QARAB: A: Question Answering System to Support…](https://md.research.elamur.ai/free/en/papers/hammo-2002-qarab-question-answering-system-support/) / cited by

# Who cites «QARAB: A: Question Answering System to Support the Arabic Language»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «QARAB: A: Question Answering System to Support the Arabic Language»](https://md.research.elamur.ai/free/en/papers/hammo-2002-qarab-question-answering-system-support/)

1. **[Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification](https://md.research.elamur.ai/free/en/papers/dahou-2016-word-embeddings-convolutional-neural-network/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Abdelghani Dahou, Shengwu Xiong, Junwei Zhou, et al.*2016 · 177 citations*
2. **[Al-Bayan: An Arabic Question Answering System for the Holy Quran](https://md.research.elamur.ai/free/en/papers/abdelnasser-2014-al-bayan-arabic-question-answering/) [EMNLP Workshop on Arabic Natural Language Processing (ANLP)](https://md.research.elamur.ai/free/en/venues/emnlp-workshop-on-arabic-natural-language-processing-anlp/)**Heba Abdelnasser, Maha Ragab, Reham Mohamed, et al.*2014 · 86 citations*
3. [**Using Linguistic Analysis to Translate Arabic Natural Language Queries to SPARQL arXiv:1508.01447**Iyad AlAgha*2015 · 10 citations*](https://md.research.elamur.ai/free/en/papers/alagha-2015-using-linguistic-analysis-translate-arabic/)
4. **[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*
5. **[QQATeam at Qur'an QA 2022: Fine-Tunning Arabic QA Models for Qur'an QA Task](https://md.research.elamur.ai/free/en/papers/ahmed-2022-qqateam-qur-qa-2022-fine/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Basem Ahmed, Motaz Saad, Eshrag A. Refaee*2022 · 3 citations*
6. [**A Preliminary Study for Building an Arabic Corpus of Pair Questions-Texts from the Web: AQA-Webcorp arXiv:1709.09404 · International Journal of Recent Contributions from Engineering, Science \& IT (iJES), kassel university press GmbH, 2016, 4 (2), pp.38-45**Wided Bakari, Patrice Bellot, Mahmoud Neji LSIS)*2016*](https://md.research.elamur.ai/free/en/papers/bakari-2017-preliminary-study-building-arabic-corpus/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/hammo-2002-qarab-question-answering-system-support/) — QARAB: A: Question Answering System to Support the Arabic Language