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Nagwa El-Makky

Nagwa El-Makky has 10 papers in our library, in 2014–2025, most of them on Semitic languages, Question answering, Sentiment & emotion; often with Marwan Torki, Ahmed Sakr, Heba Abdelnasser.

10 papers in our library · 2014–2025

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📄 10 works in our library · 🔗 Cited 35 times in our library · ⭐ Paper Stars ranking: #6534

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 10 worksArts and Humanities · 9 worksArtificial Intelligence · 10 worksLanguage and Linguistics · 9 worksInformation Systems · 3 worksSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 workSociology and Political Science · 1 work

🧭 Topics 6Research subjects and languages the work is about.Semitic languages · 10 worksQuestion answering · 2 worksSentiment & emotion · 2 worksNamed entity recognition · 1 workVision & language · 1 workDialogue systems · 1 work

 Works by year

2020s

20251 paper20245 papers20231 paper20222 papers

2010s

20141 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Al-Bayan: An Arabic Question Answering System for the Holy Quran (2014 · 86 citations)
    Al-Bayan is a question answering system for Arabic questions about the Holy Quran. The authors argue that Arabic QA is still weak and that religious topics need trustworthy answers, since the web holds much unreliable content about them. The system draws only on the Quran and two classical interpretation books…
  2. AlexUNLP-BH at StanceEval2024: Multiple Contrastive Losses Ensemble Strategy with Multi-Task Learning For Stance Detection in Arabic (2024 · 8 citations)
    The paper describes the winning system of the StanceEval 2024 shared task at ArabicNLP 2024. Systems must assign each Arabic tweet a stance of Favor, Against or None with respect to one of three targets: women empowerment, the COVID-19 vaccine, or digital transformation. The authors use only the Mawqif dataset.…
  3. Arabic Dialect Identification with a Few Labeled Examples Using Generative Adversarial Networks (2022 · 6 citations)
    The paper addresses Arabic dialect identification when only a handful of labeled examples exist for each dialect.
  4. Alex-U 2023 NLP at WojoodNER shared task: AraBINDER (Bi-encoder for Arabic Named Entity Recognition) (2023 · 5 citations)
    The paper tackles Arabic named entity recognition for the WojoodNER 2023 shared task, which has a flat track and a nested track.
  5. AlexUNLP-MZ at ArAIEval Shared Task: Contrastive Learning, LLM Features Extraction and Multi-Objective Optimization for Arabic Multi-Modal Meme Propaganda Detection (2024 · 4 citations)
    The paper describes the winning approach to the ArAIEval 2024 shared task on detecting propaganda in Arabic memes.
  6. AlexUNLP-STM at NADI 2024 shared task: Quantifying the Arabic Dialect Spectrum with Contrastive Learning, Weighted Sampling, and BERT-based Regression Ensemble (2024 · 3 citations)
    The paper describes a system for Subtask 2 of NADI 2024, which asks how dialectal an Arabic sentence is. The answer is a continuous Arabic Level of Dialectness (ALDi) score from 0 (pure Modern Standard Arabic) to 1 (strongly dialectal), not a binary MSA-vs-dialect label. The authors trained on AOC-ALDi, which is…
  7. AlexuNLP24 at AraFinNLP2024: Multi-Dialect Arabic Intent Detection with Contrastive Learning in Banking Domain (2024 · 3 citations)
    The paper tackles intent detection for Arabic banking queries when the evaluation data contains dialects absent from training.
  8. AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning Techniques (2022 · 3 citations)
    The paper describes the AlexU-AL team's entry to the Arabic track of SemEval-2022 Task 6 (iSarcasmEval). The team worked on two sub-tasks. Sub-task A is binary sarcasm classification of single tweets. Sub-task C asks which of two texts with the same meaning is the sarcastic one. The training data is small: 3,102…
  9. MA at AraFinNLP2024: BERT-based Ensemble for Cross-dialectal Arabic Intent Detection (2024 · 2 citations)
    The paper tackles banking intent detection across Arabic dialects for subtask-1 of the AraFinNLP 2024 shared task.
  10. Open-domain Arabic Conversational Question Answering with Question Rewriting (2025 · 1 citation)
    Arabic has had no open-domain conversational question answering (CQA) system. Two things were missing: a suitable dataset and a way to handle follow-up questions that depend on earlier turns. The authors built AraQReCC by machine-translating, with Googletrans, the QuAC-derived part of the English QReCC benchmark. The…

 Co-authors here

7 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 35 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

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