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Abdulrahman Altahhan

Abdulrahman Altahhan has 3 papers in our library, in 2021–2023, most of them on Semitic languages, Question answering, Information retrieval & search; often with Abdullah Alsaleh, Eric Atwell, Mohammad Alsalka.

3 papers in our library · 2021–2023

OpenAlex · ORCID · h-index 6 · 31 works · 267 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 5 times in our library · ⭐ Paper Stars ranking: #9742

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

 Affiliations

🎓University of LeedsLeeds · United Kingdom2023–2025 · 10 paperscurrent🎓Coventry UniversityCoventry · United Kingdom2015–2018 · 9 papers🎓Leeds Beckett UniversityLeeds · United Kingdom2018–2020 · 3 papers🎓Yarmouk Private UniversityDamascus · Syria2010–2011 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 2 works

🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 3 worksQuestion answering · 2 worksInformation retrieval & search · 1 work

 Works by year

2020s

20231 paper20221 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Quranic Verses Semantic Relatedness Using AraBERT (2021 · 6 citations)
    The paper asks whether a pre-trained Arabic transformer can decide if two Quranic verses are semantically related.
  2. LKAU23 at Qur'an QA 2023: Using Transformer Models for Retrieving Passages and Finding Answers to Questions from the Qur'an (2023 · 3 citations)
    The paper describes the LKAU23 team's systems for the two subtasks of the Qur'an QA 2023 shared task: passage retrieval (PR) over the Qur'an and extractive machine reading comprehension (MRC) in Classical Arabic.
  3. LK2022 at Qur'an QA 2022: Simple Transformers Model for Finding Answers to Questions from Qur'an (2022 · 2 citations)
    This paper describes a team entry to the Qur'an QA 2022 shared task. Given a Qur'anic passage and a question in Modern Standard Arabic, the system must extract answer spans from the passage. The authors used the Simple Transformers question-answering library and compared three BERT-style Arabic encoders: AraBERT…

 Co-authors here

5 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 5 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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