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Omar Mohamed

Omar Mohamed has 4 papers in our library, in 2022, most of them on Semitic languages, Question answering, Sentiment & emotion; often with Ali Ashraf, Ali Mostafa, Salma Jamal.

4 papers in our library · 2022

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📄 4 works in our library · 🔗 Cited 7 times in our library · ⭐ Paper Stars ranking: #9737

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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 1 workEngineering · 1 workMedia Technology · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 4Research subjects and languages the work is about.Semitic languages · 4 worksQuestion answering · 1 workBias, fairness & safety · 1 workSentiment & emotion · 1 work

 Works by year

2020s

20224 papers

 Papers

The most cited first (OpenAlex and our library).

  1. GOF at Qur'an QA 2022: Towards an Efficient Question Answering For The Holy Qu'ran In The Arabic Language Using Deep Learning-Based Approach (2022 · 4 citations)
    The paper tackles extractive question answering over the Holy Qur'an. This is hard because the scripture is written in Classical Arabic, while most Arabic NLP resources and pre-trained models target Modern Standard Arabic. The authors entered the Qur'an QA 2022 shared task (OSACT5), which uses the small QRCD dataset.…
  2. An End-to-End OCR Framework for Robust Arabic-Handwriting Recognition using a Novel Transformers-based Model and an Innovative 270 Million-Words Multi-Font Corpus of Classical Arabic with Diacritics (2022 · 3 citations)
    Recognizing historical Arabic text is still unreliable. Old printings show inconsistent spelling, cursive and shifted glyphs, ink bleed, stains and decorative layouts with marginal notes, and large labeled datasets are scarce. This second-phase study from Helwan University builds a complete OCR pipeline for Arabic…
  3. GOF at Arabic Hate Speech 2022: Breaking The Loss Function Convention For Data-Imbalanced Arabic Offensive Text Detection (2022 · 2 citations)
    The paper addresses offensive-language detection in Arabic tweets for the OSACT5 shared task. The core difficulty is a long-tailed label distribution. In the roughly 13k-tweet dataset of Mubarak et al. (2022), only about 35% of tweets are offensive and 11% are hate speech, and some fine-grained categories are far…
  4. On The Arabic Dialects' Identification: Overcoming Challenges of Geographical Similarities Between Arabic dialects and Imbalanced Datasets (2022 · 2 citations)
    The paper describes a system for the NADI 2022 shared task, subtask 1: country-level Arabic dialect identification on tweets.

 Co-authors here

3 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 7 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

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