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Mohammad Alsalka

Mohammad Alsalka has 3 papers in our library, in 2022–2023, most of them on Question answering, Semitic languages, Information retrieval & search; often with Eric Atwell, Sarah Alnefaie, Abdullah Alsaleh.

3 papers in our library · 2022–2023

OpenAlex · ORCID · h-index 6 · 34 works · 123 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 12 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9336

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. HAQA and QUQA: Constructing Two Arabic Question-Answering Corpora for the Quran and Hadith (2023 · 11 citations)
    Arabic question answering over Islamic texts has lacked shared, demanding benchmarks. The only public Quran QA sets are small, cover about a fifth of the Quran, and mostly contain questions that reuse the answer's wording. No public Hadith QA set exists, so prior Hadith systems were each tested on private data and…
  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…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Arabic-Centric Large Language Models for Dialectal Arabic Sentiment Analysis Task ↗Proceedings of the Shared Task on Sentiment Analysis for Arabic Dialects · no summary yetSalwa Saad Alahmari et al.2025

 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 12 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

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